Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497329
G. Galati, G. Pavan, Francesco De Palo, A. Stove
The advantages of Noise Radar Technology over more conventional radars using deterministic, although sophisticated, waveforms are twofold: Low Probability of Interception/Exploitation of radar signals and mitigation of mutual interference in marine crowded environments. In this frame, the potential applications of Noise Radar Technology are many: two of them are considered in some detail, i. e. battlefield radar and marine radar. Key elements of the design of the transmitted waveforms in both applications are discussed.
{"title":"Potential applications of noise radar technology and related waveform diversity","authors":"G. Galati, G. Pavan, Francesco De Palo, A. Stove","doi":"10.1109/IRS.2016.7497329","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497329","url":null,"abstract":"The advantages of Noise Radar Technology over more conventional radars using deterministic, although sophisticated, waveforms are twofold: Low Probability of Interception/Exploitation of radar signals and mitigation of mutual interference in marine crowded environments. In this frame, the potential applications of Noise Radar Technology are many: two of them are considered in some detail, i. e. battlefield radar and marine radar. Key elements of the design of the transmitted waveforms in both applications are discussed.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115347447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497383
Tamás Pető, R. Seller
The detection performance of the passive radars systems is limited by the direct path interference. The application of digital beamforming antenna arrays in the surveillance channel has been proposed so far. The suppression can be accomplished with the proper beampattern synthesization. In this paper real measurement data utilising the spatial filtering techniques are presented. The detected target SINR is analyzed using different surveillance channel beam space processing techniques.
{"title":"Quad channel DVB-T based passive radar","authors":"Tamás Pető, R. Seller","doi":"10.1109/IRS.2016.7497383","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497383","url":null,"abstract":"The detection performance of the passive radars systems is limited by the direct path interference. The application of digital beamforming antenna arrays in the surveillance channel has been proposed so far. The suppression can be accomplished with the proper beampattern synthesization. In this paper real measurement data utilising the spatial filtering techniques are presented. The detected target SINR is analyzed using different surveillance channel beam space processing techniques.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130119724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497378
Petra Cabalková, Radek Plšek
This paper describes bistatic and multistatic measurement using active Multistatic Primary Surveillance Radar (active MSPSR) operating in L-band. The measurement system consisted of two transmitters and one receiver. Boeing 737 departing from Pardubice airport represented the target of interest. Its detections are compared with outputs from ERA multilateration (MLAT) system deployed around Pardubice. Collected data is also compared with predictions made by Mission Planning System (MIPS).
{"title":"Comparison of target detections from active MSPSR system with outputs of MLAT system","authors":"Petra Cabalková, Radek Plšek","doi":"10.1109/IRS.2016.7497378","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497378","url":null,"abstract":"This paper describes bistatic and multistatic measurement using active Multistatic Primary Surveillance Radar (active MSPSR) operating in L-band. The measurement system consisted of two transmitters and one receiver. Boeing 737 departing from Pardubice airport represented the target of interest. Its detections are compared with outputs from ERA multilateration (MLAT) system deployed around Pardubice. Collected data is also compared with predictions made by Mission Planning System (MIPS).","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121961126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497319
F. Laghezza, F. Scotti, D. Onori, A. Bogoni
We present results of ISAR imaging derived from a field trial detecting different non-cooperative targets with a photonics-based dual band radar operating in S and X band. Images of the targets have been extracted from collected data demonstrating the capability of the system to operate as an imaging radar. The innovative features of the photonic system as the frequency flexibility and the coherent distribution to decentralized peripherals open the way to multi-spectral/static imaging.
{"title":"ISAR imaging of non-cooperative targets via dual band photonics-based radar system","authors":"F. Laghezza, F. Scotti, D. Onori, A. Bogoni","doi":"10.1109/IRS.2016.7497319","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497319","url":null,"abstract":"We present results of ISAR imaging derived from a field trial detecting different non-cooperative targets with a photonics-based dual band radar operating in S and X band. Images of the targets have been extracted from collected data demonstrating the capability of the system to operate as an imaging radar. The innovative features of the photonic system as the frequency flexibility and the coherent distribution to decentralized peripherals open the way to multi-spectral/static imaging.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126249823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497274
H. Takase, S. Hoshino, M. Shinriki
Binary codes, which are compressed to a signal with a width of several subpulses and small sidelobes, are searched using a genetic algorithm because they cannot be found by exhaustive search. We found new codes with longer code length and that the peak-sidelobe to peak-mainlobe ratios are smaller than such conventional codes as Barker codes and optimum binary codes. We also indicate the characteristics of the codes.
{"title":"Search of binary codes compressed to several subpulses using genetic algorithm","authors":"H. Takase, S. Hoshino, M. Shinriki","doi":"10.1109/IRS.2016.7497274","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497274","url":null,"abstract":"Binary codes, which are compressed to a signal with a width of several subpulses and small sidelobes, are searched using a genetic algorithm because they cannot be found by exhaustive search. We found new codes with longer code length and that the peak-sidelobe to peak-mainlobe ratios are smaller than such conventional codes as Barker codes and optimum binary codes. We also indicate the characteristics of the codes.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126708408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497355
E. Efimov, T. Shevgunov, D. Filimonova
This paper presents the approach to the design of angle of arrival estimator for narrow-band noise-like signal based on artificial neural network (ANN). The multilayer perceptron type ANNs are trained to minimize the sum of squared errors or maximize the likelihood function using the deterministic approach with the data samples generated by the single station model. The special type of output neuron processing unit is developed to perform sensible angle estimation by the signals obtained from previous network level. The results of numerical simulation show the significant increase in the estimation procedure speed for trained ANN in comparison with direct maximum likelihood estimator. The cost of the performance boost is accuracy deterioration which is no more than 10 percent at moderate SNR values.
{"title":"Angle of arrival estimator based on artificial neural networks","authors":"E. Efimov, T. Shevgunov, D. Filimonova","doi":"10.1109/IRS.2016.7497355","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497355","url":null,"abstract":"This paper presents the approach to the design of angle of arrival estimator for narrow-band noise-like signal based on artificial neural network (ANN). The multilayer perceptron type ANNs are trained to minimize the sum of squared errors or maximize the likelihood function using the deterministic approach with the data samples generated by the single station model. The special type of output neuron processing unit is developed to perform sensible angle estimation by the signals obtained from previous network level. The results of numerical simulation show the significant increase in the estimation procedure speed for trained ANN in comparison with direct maximum likelihood estimator. The cost of the performance boost is accuracy deterioration which is no more than 10 percent at moderate SNR values.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128514715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497335
P. Kaczmarek, J. Pietrasiński
High range resolution (HRR) has many advantages in ground penetrating radar (GPR) [1]. Apart from providing the ability to resolve closely spaced targets in range, it improves range accuracy, reduces the amount of clutter within resolution cell, reduces multipath, provides high resolution profiles and aids in target classification. HRR provides characteristic features of objects, for example parameters connected with physical dimensions or shape. In the paper one of superresolution methods of obtaining unambiguous synthetic range profiling in SFCW radar was described. A method for eliminating signals from possible false targets generated by overestimation of number of actual targets in MUSIC algorithm was discussed.
{"title":"A method for eliminating signals from false targets in MUSIC based GPR range profile","authors":"P. Kaczmarek, J. Pietrasiński","doi":"10.1109/IRS.2016.7497335","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497335","url":null,"abstract":"High range resolution (HRR) has many advantages in ground penetrating radar (GPR) [1]. Apart from providing the ability to resolve closely spaced targets in range, it improves range accuracy, reduces the amount of clutter within resolution cell, reduces multipath, provides high resolution profiles and aids in target classification. HRR provides characteristic features of objects, for example parameters connected with physical dimensions or shape. In the paper one of superresolution methods of obtaining unambiguous synthetic range profiling in SFCW radar was described. A method for eliminating signals from possible false targets generated by overestimation of number of actual targets in MUSIC algorithm was discussed.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134004583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497322
K. Sainath, F. Teixeira, S. Hensley
We numerically explore, for a three-layered dielectric medium, Interferometric Synthetic Aperture Radar (InSAR) coherence phase bias arising from co-polarized interferometric observations of electromagnetic (EM) interrogation of, and scattering from, penetrable subsurface media which can be approximated (at least locally, at the SAR pixel level) as planar-layered. A recently-developed incoherent scattering model now allows prediction of InSAR phase bias arising from the radar wave undergoing an (if neglecting radar time-gating) unending succession of subsurface specular reflections (“multi-bounce”), which is crucial for more comprehensively understanding interferometric observations (both terrestrial and extraterrestrial) of many low-loss layered structures. Our paper's results are as follows. First, for increasing subsurface wave attenuation the phase bias approaches zero (backscattering top interface) or the thickness of the subsurface slab (backscatter-free top interface). Second, increasing dielectric contrast between the central and outer two layers elevates (reduces) phase bias for a top interface weakly (strongly) backscattering power relative to the bottom interface. We conclude that subsurface scatter-enhanced phase bias should become significant primarily for geological structures characterized by a weakly-backscattering (i.e., very smooth) top interface and low-attenuating subsurface, which are attributes that may reasonably be used to describe the EM scattering properties of many manifestations of ice, snow, dry soil, and hyper-arid sand or regolith-mantled bedrock structures.
{"title":"Numerical study of co-polarized InSAR phase bias in remote sensing of layered media","authors":"K. Sainath, F. Teixeira, S. Hensley","doi":"10.1109/IRS.2016.7497322","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497322","url":null,"abstract":"We numerically explore, for a three-layered dielectric medium, Interferometric Synthetic Aperture Radar (InSAR) coherence phase bias arising from co-polarized interferometric observations of electromagnetic (EM) interrogation of, and scattering from, penetrable subsurface media which can be approximated (at least locally, at the SAR pixel level) as planar-layered. A recently-developed incoherent scattering model now allows prediction of InSAR phase bias arising from the radar wave undergoing an (if neglecting radar time-gating) unending succession of subsurface specular reflections (“multi-bounce”), which is crucial for more comprehensively understanding interferometric observations (both terrestrial and extraterrestrial) of many low-loss layered structures. Our paper's results are as follows. First, for increasing subsurface wave attenuation the phase bias approaches zero (backscattering top interface) or the thickness of the subsurface slab (backscatter-free top interface). Second, increasing dielectric contrast between the central and outer two layers elevates (reduces) phase bias for a top interface weakly (strongly) backscattering power relative to the bottom interface. We conclude that subsurface scatter-enhanced phase bias should become significant primarily for geological structures characterized by a weakly-backscattering (i.e., very smooth) top interface and low-attenuating subsurface, which are attributes that may reasonably be used to describe the EM scattering properties of many manifestations of ice, snow, dry soil, and hyper-arid sand or regolith-mantled bedrock structures.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129350664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497290
M. Włodarczyk-Sielicka, J. Lubczonek, A. Stateczny
The article presents a particular comparison of selected clustering algorithms of data obtained by interferometrie methods using artificial neural networks. For the purposes of the experiment original data from Szczecin Port have been tested. For collecting data authors used the interferometric sonar system GeoSwath Plus 250 kHz. GeoSwath Plus offers very efficient simultaneous swath bathymetry and side scan seabed mapping. During the use of Kohonen's algorithm, the network, during learning, use the Winner Take All rule and Winner Take Most rule. The parameters of the tested algorithms were maintained at the level of default. During the research several populations were generated with number of clusters equal 9 for data gathered from the area of 100m2. In the subsequent step statistics were calculated and outcomes were shown as spatial visualization and in tabular form.
本文对采用人工神经网络的干涉测量方法获得的数据的聚类算法进行了比较。为了实验的目的，我们对什切青港的原始数据进行了测试。为了收集数据，作者使用了干涉声纳系统GeoSwath Plus 250 kHz。GeoSwath Plus提供非常高效的同时测绘深度和侧面扫描海底测绘。在使用Kohonen算法的过程中，网络在学习过程中，使用赢家通吃规则和赢家大部分规则。被测算法的参数保持在默认水平。在研究过程中，在100m2的范围内收集数据，生成了若干种群，聚类数为9。在接下来的步骤中，计算统计数据，并以空间可视化和表格形式显示结果。
{"title":"Comparison of selected clustering algorithms of raw data obtained by interferometric methods using artificial neural networks","authors":"M. Włodarczyk-Sielicka, J. Lubczonek, A. Stateczny","doi":"10.1109/IRS.2016.7497290","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497290","url":null,"abstract":"The article presents a particular comparison of selected clustering algorithms of data obtained by interferometrie methods using artificial neural networks. For the purposes of the experiment original data from Szczecin Port have been tested. For collecting data authors used the interferometric sonar system GeoSwath Plus 250 kHz. GeoSwath Plus offers very efficient simultaneous swath bathymetry and side scan seabed mapping. During the use of Kohonen's algorithm, the network, during learning, use the Winner Take All rule and Winner Take Most rule. The parameters of the tested algorithms were maintained at the level of default. During the research several populations were generated with number of clusters equal 9 for data gathered from the area of 100m2. In the subsequent step statistics were calculated and outcomes were shown as spatial visualization and in tabular form.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114969123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497314
F. Barbaresco, Thibault Forget, Emmanuel Chevallier, J. Angulo
Radar sea clutter inhomogeneity in range is characterized by Doppler mean and spectrum width variations. We propose a new approach for robust statistical density estimation and segmentation of sea clutter Doppler spectrum. In each range cell, Doppler is characterized by a Toeplitz Hermitian Positive Definite covariance matrix that is coded in Poincaré's unit poly-disk and we use adaptation of standard kernel methods to density estimation on this specific Riemannian manifold. Based on this non-parametric approach to estimate statistical density of Doppler Spectrum, we address the problem of sea clutter data mapping and segmentation by extending "Mean-Shift" tool for these densities on Poincaré's unit poly-disk. This statistical segmentation is requested for robust detection of targets in sea clutter, especially in case of high sea state.
{"title":"Doppler spectrum segmentation of radar sea clutter by mean-shift and information geometry metric","authors":"F. Barbaresco, Thibault Forget, Emmanuel Chevallier, J. Angulo","doi":"10.1109/IRS.2016.7497314","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497314","url":null,"abstract":"Radar sea clutter inhomogeneity in range is characterized by Doppler mean and spectrum width variations. We propose a new approach for robust statistical density estimation and segmentation of sea clutter Doppler spectrum. In each range cell, Doppler is characterized by a Toeplitz Hermitian Positive Definite covariance matrix that is coded in Poincaré's unit poly-disk and we use adaptation of standard kernel methods to density estimation on this specific Riemannian manifold. Based on this non-parametric approach to estimate statistical density of Doppler Spectrum, we address the problem of sea clutter data mapping and segmentation by extending \"Mean-Shift\" tool for these densities on Poincaré's unit poly-disk. This statistical segmentation is requested for robust detection of targets in sea clutter, especially in case of high sea state.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"323 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114029748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：