To solve the difficulties in threshold selection and poor performance under low signal-to-noise ratio (SNR) conditions in existing spectrum sensing algorithms, a graph-based spectrum sensing algorithm using nonlinear function regulation was proposed. The idea was to add a specific nonlinear transformation between the normalisation and quantization steps of the existing signal-to-graph converter (SGC). If the autocorrelation function of the observed signal selected as the input fed to SGC, the nonlinear function has the ability to adjust the uniformity of its probability distribution, increasing the probability of the observed signal being transformed into a complete graph under the alternative hypothesis, whereas remaining a noncomplete graph under the null hypothesis. Thus transformed the graph-based spectrum sensing into a complete graph-detection problem. Based on the theory of dispersive ordering, a theoretical analysis of the mechanism by which nonlinear transformations affect graph connectivity was conducted. The simulation results showed that the detection performance of the proposed algorithm was superior to that of existing graph-based spectrum sensing algorithms. When SNR was −7 dB, the detection probability of the proposed algorithm exceeded 95%. Moreover, among the existing graph-based spectrum sensing algorithms, the proposed algorithm exhibited the lowest computational complexity apart from the block range-based method.
为了解决现有频谱传感算法中阈值选择困难和低信噪比(SNR)条件下性能不佳的问题,提出了一种使用非线性函数调节的基于图的频谱传感算法。其想法是在现有的信号到图转换器(SGC)的归一化和量化步骤之间添加特定的非线性变换。如果观测信号的自相关函数被选作 SGC 的输入,非线性函数就有能力调整其概率分布的均匀性,从而增加观测信号在备择假设下转化为完整图形的概率,而在零假设下则保持为非完整图形。从而将基于图的频谱感知转化为一个完整图检测问题。基于分散排序理论,对非线性变换影响图连通性的机制进行了理论分析。仿真结果表明,所提算法的检测性能优于现有的基于图的频谱检测算法。当 SNR 为 -7 dB 时,拟议算法的检测概率超过 95%。此外,在现有的基于图的频谱传感算法中,除了基于块范围的方法外,所提算法的计算复杂度最低。
{"title":"Graph-based spectrum sensing algorithm via nonlinear function regulation","authors":"Shanshan Wu, Guobing Hu","doi":"10.1049/rsn2.12538","DOIUrl":"10.1049/rsn2.12538","url":null,"abstract":"<p>To solve the difficulties in threshold selection and poor performance under low signal-to-noise ratio (SNR) conditions in existing spectrum sensing algorithms, a graph-based spectrum sensing algorithm using nonlinear function regulation was proposed. The idea was to add a specific nonlinear transformation between the normalisation and quantization steps of the existing signal-to-graph converter (SGC). If the autocorrelation function of the observed signal selected as the input fed to SGC, the nonlinear function has the ability to adjust the uniformity of its probability distribution, increasing the probability of the observed signal being transformed into a complete graph under the alternative hypothesis, whereas remaining a noncomplete graph under the null hypothesis. Thus transformed the graph-based spectrum sensing into a complete graph-detection problem. Based on the theory of dispersive ordering, a theoretical analysis of the mechanism by which nonlinear transformations affect graph connectivity was conducted. The simulation results showed that the detection performance of the proposed algorithm was superior to that of existing graph-based spectrum sensing algorithms. When SNR was −7 dB, the detection probability of the proposed algorithm exceeded 95%. Moreover, among the existing graph-based spectrum sensing algorithms, the proposed algorithm exhibited the lowest computational complexity apart from the block range-based method.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12538","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139582301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marco Di Seglio, Francesca Filippini, Carlo Bongioanni, Fabiola Colone
The use of WiFi signals for sensing purposes has attracted a lot of interest from both the radar and communications communities and several techniques have been explored. In the attempt of meeting the requirements for small sensor size, compactness, and easy deployment, the authors consider reference-free approaches, namely approaches that do not require a good copy of the transmitted waveform to be available at the radar receiver. To this end, the authors first resort to a passive radar-based processing scheme that only exploits the invariant a priori known initial portion of the physical layer protocol data unit, that is, the PHY Preamble, and its limitations in practical applications is investigated. Specifically, the authors show that, with this approach, an accurate time, phase, and frequency synchronization is essential and a possible strategy is investigated. As an alternative solution the authors consider a forward scatter radar-based approach where only the amplitude modulation of the received signal is exploited to detect the presence of a moving target thus avoiding the need to know the transmitted signal. For the first time, the authors comparatively investigate advantages and drawbacks of the two reference-free approaches and present practical strategies to handle the limitations observed. The results are reported for experimental tests with people and drones using WiFi transmissions in the 2.4 and 5 GHz band.
{"title":"Comparing reference-free WiFi radar sensing approaches for monitoring people and drones","authors":"Marco Di Seglio, Francesca Filippini, Carlo Bongioanni, Fabiola Colone","doi":"10.1049/rsn2.12506","DOIUrl":"10.1049/rsn2.12506","url":null,"abstract":"<p>The use of WiFi signals for sensing purposes has attracted a lot of interest from both the radar and communications communities and several techniques have been explored. In the attempt of meeting the requirements for small sensor size, compactness, and easy deployment, the authors consider reference-free approaches, namely approaches that do not require a good copy of the transmitted waveform to be available at the radar receiver. To this end, the authors first resort to a passive radar-based processing scheme that only exploits the invariant <i>a priori</i> known initial portion of the physical layer protocol data unit, that is, the PHY Preamble, and its limitations in practical applications is investigated. Specifically, the authors show that, with this approach, an accurate time, phase, and frequency synchronization is essential and a possible strategy is investigated. As an alternative solution the authors consider a forward scatter radar-based approach where only the amplitude modulation of the received signal is exploited to detect the presence of a moving target thus avoiding the need to know the transmitted signal. For the first time, the authors comparatively investigate advantages and drawbacks of the two reference-free approaches and present practical strategies to handle the limitations observed. The results are reported for experimental tests with people and drones using WiFi transmissions in the 2.4 and 5 GHz band.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12506","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139590320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongyu Ma, Yuchen Zhao, Yongxing Du, Zhonghong Du, Xiaoli Xi
The High-Dynamic enhanced Loran (eLoran) signal simulator must accurately model the motion parameters and dynamic transmission delays of the carriers in the channel. A method was proposed based on B-Spline interpolation, capable of arbitrary ratio interpolation and multi-channel simulation. This method can regenerate carrier-to-transmitter distances from available discrete motion asynchronous data, it can effectively reproduce more motion details for carrier. The algorithm can be implemented using digital circuits, allowing for real-time simulation on a hardware platform. The circuit structure is divided into integer and fractional calculations, which can satisfy the interpolation of asynchronous data with arbitrary ratios. Compared with existing methods, the approach simulates the motion parameters with satisfactory accuracy.
{"title":"Pseudorange reconstruction for high-dynamic eLoran signal simulators using B-spline interpolation","authors":"Hongyu Ma, Yuchen Zhao, Yongxing Du, Zhonghong Du, Xiaoli Xi","doi":"10.1049/rsn2.12539","DOIUrl":"10.1049/rsn2.12539","url":null,"abstract":"<p>The High-Dynamic enhanced Loran (eLoran) signal simulator must accurately model the motion parameters and dynamic transmission delays of the carriers in the channel. A method was proposed based on B-Spline interpolation, capable of arbitrary ratio interpolation and multi-channel simulation. This method can regenerate carrier-to-transmitter distances from available discrete motion asynchronous data, it can effectively reproduce more motion details for carrier. The algorithm can be implemented using digital circuits, allowing for real-time simulation on a hardware platform. The circuit structure is divided into integer and fractional calculations, which can satisfy the interpolation of asynchronous data with arbitrary ratios. Compared with existing methods, the approach simulates the motion parameters with satisfactory accuracy.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12539","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139558218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The jamming in electronic warfare environment significantly degrades the performance of the radar system, especially the mainlobe jamming. The distributed array radar can suppress the mainlobe jamming by increasing the array aperture with auxiliary arrays. However, when the aperture of an auxiliary array is smaller than that of the main array, it results in residual jamming in auxiliary arrays after beamforming and affects the performance of the radar system. To tackle this issue, a mainlobe and sidelobe jamming joint suppression method with eigen-projection matrix processing (EMP) and null constraints is proposed. In the proposed method, firstly, the adaptive beamforming with EMP is performed in main and auxiliary arrays to suppress the sidelobe jamming with mainlobe maintenance. Then, the null constraints based on the Capon spectrum of main array are applied to suppress the residual jamming in auxiliary arrays. Finally, the minimum mean square error (MMSE) beamforming is utilised to cancel the mainlobe jamming. Simulation results demonstrate the jamming suppression performance of the proposed method.
{"title":"Mainlobe and sidelobe jamming suppression method based on distributed array radar with eigen-projection matrix processing and null constraints","authors":"Bowen Han, Xiaopeng Yang, Qiang Lv, Wolin Li, Zhengyan Zhang, Shichao Zhong","doi":"10.1049/rsn2.12533","DOIUrl":"https://doi.org/10.1049/rsn2.12533","url":null,"abstract":"The jamming in electronic warfare environment significantly degrades the performance of the radar system, especially the mainlobe jamming. The distributed array radar can suppress the mainlobe jamming by increasing the array aperture with auxiliary arrays. However, when the aperture of an auxiliary array is smaller than that of the main array, it results in residual jamming in auxiliary arrays after beamforming and affects the performance of the radar system. To tackle this issue, a mainlobe and sidelobe jamming joint suppression method with eigen-projection matrix processing (EMP) and null constraints is proposed. In the proposed method, firstly, the adaptive beamforming with EMP is performed in main and auxiliary arrays to suppress the sidelobe jamming with mainlobe maintenance. Then, the null constraints based on the Capon spectrum of main array are applied to suppress the residual jamming in auxiliary arrays. Finally, the minimum mean square error (MMSE) beamforming is utilised to cancel the mainlobe jamming. Simulation results demonstrate the jamming suppression performance of the proposed method.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139464890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ming Long, Jun Yang, Mingjiu Lv, Wenfeng Chen, Saiqiang Xia
A signal time-frequency results inversion method is proposed for extracting micro-motion features of rotor targets under low signal-to-noise ratios (SNRs). In the case of low SNRs, the echo's energy of rotor targets is mainly concentrated in the flash's echo component. Conventional micro-motion feature extraction of rotor targets primarily utilises the sinusoidal modulation feature in time-frequency results, whose energy is much lower than the flash. Under low SNRs, the sinusoidal modulation in the echo's time-frequency results will be submerged in the noise, making feature extraction challenging. A deep learning network is used to inverse the time-frequency results containing sinusoidal modulation based on the flash's features in the time-frequency results. Based on the inversion time-frequency results, the GS-IRadon algorithm is used to extract micro-motion features, which can significantly reduce the times of IRadon transformations and improve feature extraction speed and accuracy. Through simulation and analysis, a novel method using a deep learning network like UNet can effectively inverse time-frequency results under low SNRs, providing a new technical approach for micro-motion feature extraction. Time-frequency results inversion is a novelty method used to achieve micro-motion feature extraction of rotor targets.
{"title":"Micro-motion signal time-frequency results inversion of rotor targets under low signal-to-noise ratios","authors":"Ming Long, Jun Yang, Mingjiu Lv, Wenfeng Chen, Saiqiang Xia","doi":"10.1049/rsn2.12536","DOIUrl":"10.1049/rsn2.12536","url":null,"abstract":"<p>A signal time-frequency results inversion method is proposed for extracting micro-motion features of rotor targets under low signal-to-noise ratios (SNRs). In the case of low SNRs, the echo's energy of rotor targets is mainly concentrated in the flash's echo component. Conventional micro-motion feature extraction of rotor targets primarily utilises the sinusoidal modulation feature in time-frequency results, whose energy is much lower than the flash. Under low SNRs, the sinusoidal modulation in the echo's time-frequency results will be submerged in the noise, making feature extraction challenging. A deep learning network is used to inverse the time-frequency results containing sinusoidal modulation based on the flash's features in the time-frequency results. Based on the inversion time-frequency results, the GS-IRadon algorithm is used to extract micro-motion features, which can significantly reduce the times of IRadon transformations and improve feature extraction speed and accuracy. Through simulation and analysis, a novel method using a deep learning network like UNet can effectively inverse time-frequency results under low SNRs, providing a new technical approach for micro-motion feature extraction. Time-frequency results inversion is a novelty method used to achieve micro-motion feature extraction of rotor targets.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12536","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139464734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Two-dimensional direction-of-arrival (DoA) estimation in azimuth and elevation via radar systems equipped with uniform rectangular arrays (URAs) will play an important role in various application areas—most distinctively in future urban air mobility settings with unmanned aerial vehicles. A key factor is the fast and reliable provision of target detections in terms of range and DoA for safe autonomous operation of the vehicle using on-board antenna arrays with compact installation size. The authors present a technique for improving the performance of DoA estimation using compressive sensing in conjunction with multiple-input multiple-output arrays with electronically steered beams in the transmit direction. The simulation study investigates the impact of different design considerations on radar signal processing performance. An optimisation of a radar system using electronic beamsteering in the transmit domain is presented numerically. Based on the architecture of the URAs used, performance and detection accuracy can be improved.
通过配备有均匀矩形阵列(URA)的雷达系统进行方位角和仰角的二维到达方向(DoA)估计,将在各种应用领域发挥重要作用,尤其是在未来使用无人驾驶飞行器的城市空中移动环境中。其中一个关键因素是利用安装尺寸小巧的机载天线阵列,快速可靠地提供目标探测距离和 DoA,以保证飞行器的安全自主运行。作者提出了一种提高 DoA 估计性能的技术,该技术采用压缩传感技术,并与在发射方向具有电子转向波束的多输入多输出阵列相结合。模拟研究调查了不同设计考虑因素对雷达信号处理性能的影响。在发射域使用电子波束转向的雷达系统优化以数值形式呈现。根据所使用的 URA 结构,性能和探测精度都可以得到提高。
{"title":"Improving estimation performance of compressive sensing-based multiple-input multiple-output radar using electronic beamsteering","authors":"Max Schurwanz, Jan Mietzner, Peter Adam Hoeher","doi":"10.1049/rsn2.12535","DOIUrl":"10.1049/rsn2.12535","url":null,"abstract":"<p>Two-dimensional direction-of-arrival (DoA) estimation in azimuth and elevation via radar systems equipped with uniform rectangular arrays (URAs) will play an important role in various application areas—most distinctively in future urban air mobility settings with unmanned aerial vehicles. A key factor is the fast and reliable provision of target detections in terms of range and DoA for safe autonomous operation of the vehicle using on-board antenna arrays with compact installation size. The authors present a technique for improving the performance of DoA estimation using compressive sensing in conjunction with multiple-input multiple-output arrays with electronically steered beams in the transmit direction. The simulation study investigates the impact of different design considerations on radar signal processing performance. An optimisation of a radar system using electronic beamsteering in the transmit domain is presented numerically. Based on the architecture of the URAs used, performance and detection accuracy can be improved.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12535","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139464998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An analysis of the parameter estimation uncertainty for the target location and velocity achievable using a single-transmitter-multiple-receiver multistatic radar system is presented. A framework for establishing measures of multistatic radar parameter uncertainties by expansion of the bistatic radar parameter uncertainty measures is presented for systems containing omnidirectionally radiating nodes. The methodology uses analytical methods based on the Cramér–Rao Lower Bounds applied to scenarios in a two-dimensional physical space with a single target exhibiting Doppler characteristics and a bistatic angle dependent radar cross-section. A set of geometric descriptors is proposed to characterise the system, and parameter uncertainty results are reported as a function of these descriptors. The results indicate that angular separation between the transmitter and the centre of the receiver distribution is of greater importance than the quantity of receivers within the system when low uncertainty estimation capabilities are desired, though a minimum of two receivers must be available. The proportion of receivers within the system which contributed information crucial to obtaining the minimum estimation uncertainty is reported for systems containing different quantities of receivers. It was observed that, as the total number of receivers available increased, the proportion of receivers required to achieve the minimal uncertainty level reduces significantly.
{"title":"Multistatic radar distribution geometry effects on parameter estimation accuracy","authors":"D. Dhulashia, M. A. Ritchie","doi":"10.1049/rsn2.12529","DOIUrl":"10.1049/rsn2.12529","url":null,"abstract":"<p>An analysis of the parameter estimation uncertainty for the target location and velocity achievable using a single-transmitter-multiple-receiver multistatic radar system is presented. A framework for establishing measures of multistatic radar parameter uncertainties by expansion of the bistatic radar parameter uncertainty measures is presented for systems containing omnidirectionally radiating nodes. The methodology uses analytical methods based on the Cramér–Rao Lower Bounds applied to scenarios in a two-dimensional physical space with a single target exhibiting Doppler characteristics and a bistatic angle dependent radar cross-section. A set of geometric descriptors is proposed to characterise the system, and parameter uncertainty results are reported as a function of these descriptors. The results indicate that angular separation between the transmitter and the centre of the receiver distribution is of greater importance than the quantity of receivers within the system when low uncertainty estimation capabilities are desired, though a minimum of two receivers must be available. The proportion of receivers within the system which contributed information crucial to obtaining the minimum estimation uncertainty is reported for systems containing different quantities of receivers. It was observed that, as the total number of receivers available increased, the proportion of receivers required to achieve the minimal uncertainty level reduces significantly.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12529","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139398584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Time-frequency analysis based on Wigner-Ville distribution (WVD) plays a significant role in analysing non-stationary signals, but it is susceptible to interference from cross-terms (CTs) for multi-component signals. To address this issue, a novel WVD enhancement method based on generative adversarial networks (namely WVD-GAN) is proposed, to achieve highly-concentrated time-frequency (TF) representation. Specifically, a deep feature extraction module is designed with multiple residual connections in the generator of WVD-GAN to leverage the latent information encoded in the shallow representations. Meanwhile, a simple and effective attention module is introduced to enhance auto-term features. Moreover, a multi-scale discriminator is proposed based on dilated convolutions to guide the generator to reconstruct high-resolution TF images by discriminating CT. Finally, a comparative analysis is provided to demonstrate the effectiveness and robustness of the proposed method on different simulated and real-life datasets. Extensive experiments demonstrate that the proposed method outperforms several state-of-the-art methods.
{"title":"WVD-GAN: A Wigner-Ville distribution enhancement method based on generative adversarial network","authors":"Daying Quan, Feitao Ren, Xiaofeng Wang, Mengdao Xing, Ning Jin, Dongping Zhang","doi":"10.1049/rsn2.12532","DOIUrl":"10.1049/rsn2.12532","url":null,"abstract":"<p>Time-frequency analysis based on Wigner-Ville distribution (WVD) plays a significant role in analysing non-stationary signals, but it is susceptible to interference from cross-terms (CTs) for multi-component signals. To address this issue, a novel WVD enhancement method based on generative adversarial networks (namely WVD-GAN) is proposed, to achieve highly-concentrated time-frequency (TF) representation. Specifically, a deep feature extraction module is designed with multiple residual connections in the generator of WVD-GAN to leverage the latent information encoded in the shallow representations. Meanwhile, a simple and effective attention module is introduced to enhance auto-term features. Moreover, a multi-scale discriminator is proposed based on dilated convolutions to guide the generator to reconstruct high-resolution TF images by discriminating CT. Finally, a comparative analysis is provided to demonstrate the effectiveness and robustness of the proposed method on different simulated and real-life datasets. Extensive experiments demonstrate that the proposed method outperforms several state-of-the-art methods.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12532","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139398587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The IET RSN journal has always published a significant number of Special Issues. In some cases, these have been based on the theme of a new technology or set of applications. In others, they have presented developments of the best papers from a particular conference. Both approaches have led to coherent, high-quality collections of papers that are easy to locate.
In this rapidly-changing landscape of publications, we have taken the decision to continue and to grow such Special Issues and have appointed Professor Alessio Balleri to oversee this. We welcome proposals for Special Issues from potential Guest Editors but emphasise that papers in Special Issues will receive the same degree of review and scrutiny as regular papers.
Open Access has become an increasingly popular means of handling the publication process. In partnership with Wiley, 27 of IET's hybrid journal programmes successfully transitioned to Gold OA in 2020. There are now 43 OA journals in the IET's portfolio, and the programme is expanding.
The editors of the RSN journal have always striven to maintain a reputation for rapid processing and publication. Statistics for Q1–Q3 of 2023 show that the average time from submission to first decision is 29 days and from acceptance to e-first publication is 25 days. This achievement has depended on rapid responses by our reviewers, and we express our gratitude to the reviewers for their time, expertise and hard work in refereeing papers and maintaining the reputation of the journal, both for quality and for rapid publication. This is an essential part of the publication process, but necessarily the reviewers must remain anonymous. This editorial is one place where we can acknowledge their contribution and record our thanks to them.
{"title":"RSN editorial 2024","authors":"Hugh Griffiths, Alessio Balleri","doi":"10.1049/rsn2.12530","DOIUrl":"10.1049/rsn2.12530","url":null,"abstract":"<p>The IET RSN journal has always published a significant number of Special Issues. In some cases, these have been based on the theme of a new technology or set of applications. In others, they have presented developments of the best papers from a particular conference. Both approaches have led to coherent, high-quality collections of papers that are easy to locate.</p><p>In this rapidly-changing landscape of publications, we have taken the decision to continue and to grow such Special Issues and have appointed Professor Alessio Balleri to oversee this. We welcome proposals for Special Issues from potential Guest Editors but emphasise that papers in Special Issues will receive the same degree of review and scrutiny as regular papers.</p><p>Open Access has become an increasingly popular means of handling the publication process. In partnership with Wiley, 27 of IET's hybrid journal programmes successfully transitioned to Gold OA in 2020. There are now 43 OA journals in the IET's portfolio, and the programme is expanding.</p><p>The editors of the RSN journal have always striven to maintain a reputation for rapid processing and publication. Statistics for Q1–Q3 of 2023 show that the average time from submission to first decision is 29 days and from acceptance to e-first publication is 25 days. This achievement has depended on rapid responses by our reviewers, and we express our gratitude to the reviewers for their time, expertise and hard work in refereeing papers and maintaining the reputation of the journal, both for quality and for rapid publication. This is an essential part of the publication process, but necessarily the reviewers must remain anonymous. This editorial is one place where we can acknowledge their contribution and record our thanks to them.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12530","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139376193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Timothé Presles, Cyrille Enderli, Gilles Burel, El Houssaïn Baghious
In image processing, image segmentation is the process of partitioning a digital image into multiple image segments. Among state-of-the-art methods, Markov random fields can be used to model dependencies between pixels and achieve a segmentation by minimising an associated cost function. Currently, finding the optimal set of segments for a given image modelled as a Markov random fields appears to be NP-hard. The authors aim to take advantage of the exponential scalability of quantum computing to speed up the segmentation of synthetic aperture radar images. For that purpose, the authors propose a hybrid quantum annealing classical optimisation expectation maximisation algorithm to obtain optimal sets of segments. After proposing suitable formulations, the authors discuss the performances and the scalability of authors’ approach on the D-Wave quantum computer. The authors also propose a short study of optimal computation parameters to enlighten the limits and potential of the adiabatic quantum computation to solve large instances of combinatorial optimisation problems.
{"title":"Synthetic aperture radar image segmentation with quantum annealing","authors":"Timothé Presles, Cyrille Enderli, Gilles Burel, El Houssaïn Baghious","doi":"10.1049/rsn2.12523","DOIUrl":"10.1049/rsn2.12523","url":null,"abstract":"<p>In image processing, image segmentation is the process of partitioning a digital image into multiple image segments. Among state-of-the-art methods, Markov random fields can be used to model dependencies between pixels and achieve a segmentation by minimising an associated cost function. Currently, finding the optimal set of segments for a given image modelled as a Markov random fields appears to be NP-hard. The authors aim to take advantage of the exponential scalability of quantum computing to speed up the segmentation of synthetic aperture radar images. For that purpose, the authors propose a hybrid quantum annealing classical optimisation expectation maximisation algorithm to obtain optimal sets of segments. After proposing suitable formulations, the authors discuss the performances and the scalability of authors’ approach on the D-Wave quantum computer. The authors also propose a short study of optimal computation parameters to enlighten the limits and potential of the adiabatic quantum computation to solve large instances of combinatorial optimisation problems.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12523","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139092349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}