In view of the problem that the existing passive sonar signal simulation does not consider the marine environment and underwater acoustic channel, which may not reflect the received signal of the actual array element, this paper establishes the mathematical model of the received signal of the passive sonar in the shallow sea channel condition combined with the marine environment parameters and the channel multipath model. The multi-path channel model is calculated based on Gaussian ray tracing method; The environmental noise model is obtained by the classical formula of marine environmental noise spectrum; The radiated noise signal is calculated by the superposition of characteristic line spectrum and broadband continuous spectrum. The broadband continuous spectrum is constructed by specific frequency response FIR filter, and the comprehensive simulation results are given. The research of this paper can provide some reference for passive sonar detection and recognition, and can also be used as the signal source of target signal simulator and hardware in the loop simulation.
{"title":"Modeling and Simulation of Passive Sonar Signal under Channel Conditions","authors":"Xianliang Zhao, Zhou Chen, Zheng-wei Wang, Zhi-gang Liu, Mo-ran Wang, Qin Liang","doi":"10.1109/ICICSP55539.2022.10050567","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050567","url":null,"abstract":"In view of the problem that the existing passive sonar signal simulation does not consider the marine environment and underwater acoustic channel, which may not reflect the received signal of the actual array element, this paper establishes the mathematical model of the received signal of the passive sonar in the shallow sea channel condition combined with the marine environment parameters and the channel multipath model. The multi-path channel model is calculated based on Gaussian ray tracing method; The environmental noise model is obtained by the classical formula of marine environmental noise spectrum; The radiated noise signal is calculated by the superposition of characteristic line spectrum and broadband continuous spectrum. The broadband continuous spectrum is constructed by specific frequency response FIR filter, and the comprehensive simulation results are given. The research of this paper can provide some reference for passive sonar detection and recognition, and can also be used as the signal source of target signal simulator and hardware in the loop simulation.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132211165","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050680
Mogamat Yaaseen Martin, S. Winberg, Y. Gaffar, D. MacLeod
The growing number of objects in the Low Earth Orbit is becoming increasingly concerning to astronomers and space missions - particularly due to the limitations in tracking accuracy due to the availability and placements of surveillance sensors. This paper connects to this issue, presenting the development of an open-source, ray-traced, signal-level pulsed radar simulator for use in exploring and planning space monitoring solutions without using real-time data feeds. The simulator was also developed around the use of the NVIDIA® OptiX™ engine to accommodate its ray-tracing features and accelerate performance. This was designed to aid astronomers and researchers in space situational awareness applications through the simulation of radar designs for orbital surveillance experiments. The developed tool was also compared against a more streamlined application that used point-model approximations for quick-look simulations, and the trade-offs between both simulators were evaluated. While the use of ray tracing resulted in significant speed costs, it was found that the algorithm also introduced more realistic results relative to point-model simulations - providing various advantages in scenarios involving shadowing and multiscatter.
{"title":"Investigating the Use of Ray Tracing for Signal-Level Radar Simulation in Space Surveillance","authors":"Mogamat Yaaseen Martin, S. Winberg, Y. Gaffar, D. MacLeod","doi":"10.1109/ICICSP55539.2022.10050680","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050680","url":null,"abstract":"The growing number of objects in the Low Earth Orbit is becoming increasingly concerning to astronomers and space missions - particularly due to the limitations in tracking accuracy due to the availability and placements of surveillance sensors. This paper connects to this issue, presenting the development of an open-source, ray-traced, signal-level pulsed radar simulator for use in exploring and planning space monitoring solutions without using real-time data feeds. The simulator was also developed around the use of the NVIDIA® OptiX™ engine to accommodate its ray-tracing features and accelerate performance. This was designed to aid astronomers and researchers in space situational awareness applications through the simulation of radar designs for orbital surveillance experiments. The developed tool was also compared against a more streamlined application that used point-model approximations for quick-look simulations, and the trade-offs between both simulators were evaluated. While the use of ray tracing resulted in significant speed costs, it was found that the algorithm also introduced more realistic results relative to point-model simulations - providing various advantages in scenarios involving shadowing and multiscatter.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132321806","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}
Multiple-input-multiple-output (MIMO) radar with frequency diverse array (FDA) has been proposed and explored in recent years. The range-angle-dependent beampattern provides the potential to obtain angle and range of targets. The traditional algorithms deteriorate while considering FDA-MIMO radar with mutual coupling. In this paper, the signal model for FDA-MIMO with unknown mutual coupling is deduced. The modified unitary ESPRIT algorithm to remove the effect of mutual coupling matrix and gain the angle and range estimation. The effectiveness of the proposed algorithm is verified by simulation results.
{"title":"Joint Angle and Range Estimation with FDA-MIMO Radar in Unknown Mutual Coupling","authors":"Feilong Liu, Shengqi Zhu, Ximin Li, Jingwei Xu, Lan Lan, Zhuochen Chen","doi":"10.1109/ICICSP55539.2022.10050598","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050598","url":null,"abstract":"Multiple-input-multiple-output (MIMO) radar with frequency diverse array (FDA) has been proposed and explored in recent years. The range-angle-dependent beampattern provides the potential to obtain angle and range of targets. The traditional algorithms deteriorate while considering FDA-MIMO radar with mutual coupling. In this paper, the signal model for FDA-MIMO with unknown mutual coupling is deduced. The modified unitary ESPRIT algorithm to remove the effect of mutual coupling matrix and gain the angle and range estimation. The effectiveness of the proposed algorithm is verified by simulation results.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114235634","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050682
Ge Zhang, Lin Geng, Xingguo Chen
Beamforming and deconvolution techniques play a significant role in identifying sound sources. However, it is commonly known that conventional beamforming (CBF) is difficult to identify sound sources accurately due to its inherent drawbacks, including low spatial resolution and small dynamic ranges, while deconvolution methods are burdened with huge computational costs and fail to provide reliable results. Aiming to overcome the restrictions of conventional beamforming and deconvolution methods, a novel sound source localization method combining conventional beamforming with a deep learning method is proposed. In this paper, the sound source localization task is framed as an image prediction task. Firstly, conventional beamforming (CBF) is utilized for obtaining the initial sound source spatial distribution maps. Secondly, a target map is designed as the ground truth label for training. Then a densely connected convolutional neural network (DCFCN) with an encoder-decoder structure is established for extracting features from CBF maps and predicting the spatial distribution of a single sound source. Finally, the position of a single sound source can be retrieved from the predicted maps generated by DCFCN. Simulations are carried out to verify the effectiveness of the proposed method by comparing it with several traditional sound source localization methods. Results suggest that the proposed method can not only significantly improve the spatial resolution and dynamic range of CBF but also achieve accurate localization with high computational efficiency.
{"title":"Sound Source Localization Method Based on Densely Connected Convolutional Neural Network","authors":"Ge Zhang, Lin Geng, Xingguo Chen","doi":"10.1109/ICICSP55539.2022.10050682","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050682","url":null,"abstract":"Beamforming and deconvolution techniques play a significant role in identifying sound sources. However, it is commonly known that conventional beamforming (CBF) is difficult to identify sound sources accurately due to its inherent drawbacks, including low spatial resolution and small dynamic ranges, while deconvolution methods are burdened with huge computational costs and fail to provide reliable results. Aiming to overcome the restrictions of conventional beamforming and deconvolution methods, a novel sound source localization method combining conventional beamforming with a deep learning method is proposed. In this paper, the sound source localization task is framed as an image prediction task. Firstly, conventional beamforming (CBF) is utilized for obtaining the initial sound source spatial distribution maps. Secondly, a target map is designed as the ground truth label for training. Then a densely connected convolutional neural network (DCFCN) with an encoder-decoder structure is established for extracting features from CBF maps and predicting the spatial distribution of a single sound source. Finally, the position of a single sound source can be retrieved from the predicted maps generated by DCFCN. Simulations are carried out to verify the effectiveness of the proposed method by comparing it with several traditional sound source localization methods. Results suggest that the proposed method can not only significantly improve the spatial resolution and dynamic range of CBF but also achieve accurate localization with high computational efficiency.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114530255","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050584
Haojie Bai, Keyuan Zhai, Guangzu Liu, Jun Zou
QC-LDPC(Quasi-Cyclic LDPC) is widely used in deep space communications due to its superior performance. Overlapped-NMSA(Normalization Min-Sum Algorithm) has similar error correction performance to NMSA, and it takes less time to complete an iteration process, so it is more suitable for the design and implementation of high-speed decoder. In this paper, an efficient storage addressing scheme suitable for high parallelism decoder is proposed, and the overall architecture of decoder is designed based on the storage addressing scheme. After the design of the decoder is completed, VIVADO and MATLAB simulation tests show that the decoder can run with a maximum clock frequency of 210MHz and a minimum throughput of about 1.1Gbps.
{"title":"A Design Method of High Parallelism QC-LDPC Decoder Based on FPGA","authors":"Haojie Bai, Keyuan Zhai, Guangzu Liu, Jun Zou","doi":"10.1109/ICICSP55539.2022.10050584","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050584","url":null,"abstract":"QC-LDPC(Quasi-Cyclic LDPC) is widely used in deep space communications due to its superior performance. Overlapped-NMSA(Normalization Min-Sum Algorithm) has similar error correction performance to NMSA, and it takes less time to complete an iteration process, so it is more suitable for the design and implementation of high-speed decoder. In this paper, an efficient storage addressing scheme suitable for high parallelism decoder is proposed, and the overall architecture of decoder is designed based on the storage addressing scheme. After the design of the decoder is completed, VIVADO and MATLAB simulation tests show that the decoder can run with a maximum clock frequency of 210MHz and a minimum throughput of about 1.1Gbps.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114849871","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050597
Yanan Shen, Xiaoping Wu
This paper investigates the moving object localization using time delay and Doppler frequency shifts in multistatic sonar system where the transmitters are subject to the clock offsets. A non-iterative two-stage closed-form solution is proposed to determine the position and velocity of the mobile object. In the first stage, the pseudo-linear equation is constructed by introducing auxiliary variables, and the preliminary solution is obtained from weighted least squares (WLS) minimization. In the second stage, the solution obtained in the first stage is used to construct a new linear equation, and the relationships among the unknown and auxiliary variables are used to improve the estimation performance of the position and velocity. The simulated results show that the performance of the stage-two solution is able to approach the Cramer-Rao Lower Bound (CRLB) performance under Gaussian noise when the measurement noise is small.
{"title":"Moving Object Localization for Multistatic Sonar System with Clock Offsets","authors":"Yanan Shen, Xiaoping Wu","doi":"10.1109/ICICSP55539.2022.10050597","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050597","url":null,"abstract":"This paper investigates the moving object localization using time delay and Doppler frequency shifts in multistatic sonar system where the transmitters are subject to the clock offsets. A non-iterative two-stage closed-form solution is proposed to determine the position and velocity of the mobile object. In the first stage, the pseudo-linear equation is constructed by introducing auxiliary variables, and the preliminary solution is obtained from weighted least squares (WLS) minimization. In the second stage, the solution obtained in the first stage is used to construct a new linear equation, and the relationships among the unknown and auxiliary variables are used to improve the estimation performance of the position and velocity. The simulated results show that the performance of the stage-two solution is able to approach the Cramer-Rao Lower Bound (CRLB) performance under Gaussian noise when the measurement noise is small.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132236212","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050689
Yuan Liu, Wenqiang Liu, Yongchang Li
Sparse representation has been applied to nearfield acoustic holography in order to provide an accurate reconstruction with a small number of sampling points. However, the performance of the application is based on the sparsity of the signal to be reconstructed. In this study, K-SVD dictionary learning method is used to construct a basis of the sound field and the sound field can be sparsely represented by the learned dictionary. The samples of K-SVD are the sound fields obtained by simulations rather than those measured in practice, by taking the advantage of the equivalent source method. Compared with other sparse bases used in the existing nearfield acoustic holography, the dictionary learned by K-SVD is more flexible and the prior of the sound field is not necessary. The numerical simulation results demonstrate the validity of advantage of the proposed method.
{"title":"Sparse Representation of Sound Field Based on K-SVD","authors":"Yuan Liu, Wenqiang Liu, Yongchang Li","doi":"10.1109/ICICSP55539.2022.10050689","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050689","url":null,"abstract":"Sparse representation has been applied to nearfield acoustic holography in order to provide an accurate reconstruction with a small number of sampling points. However, the performance of the application is based on the sparsity of the signal to be reconstructed. In this study, K-SVD dictionary learning method is used to construct a basis of the sound field and the sound field can be sparsely represented by the learned dictionary. The samples of K-SVD are the sound fields obtained by simulations rather than those measured in practice, by taking the advantage of the equivalent source method. Compared with other sparse bases used in the existing nearfield acoustic holography, the dictionary learned by K-SVD is more flexible and the prior of the sound field is not necessary. The numerical simulation results demonstrate the validity of advantage of the proposed method.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122101340","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050712
Tao Yin, Jianfeng Liang, Xunru Liang, Zeting Chen, Xiaoyu Tang
Insulators are a vital portion of high-voltage transmission lines. Defective insulators will cause the power system to fail, resulting in significant losses. Although the traditional methods of detecting the insulator defect based on image detection have improved detection efficiency, the problem of low detection accuracy and poor real-time performance arises when the aerial image resolution is high and the environmental background is complex. In this paper, an improved YOLOv5 model is proposed to solve these issues. On the basis of the YOLOv5 model, BiFPN is used as the neck part to strengthen the feature extraction capability of the model to enhance detection accuracy. We also integrate Transformer and Coordinate Attention to capture important insulator edge information and reduce the interference of complex backgrounds. The model was tested several times on a dataset that we built ourselves. The AP value of the improved YOLOv5 model for insulator defect detection is 98.6%, and the average processing speed per image is 4.5ms. The experimental results indicate that the improved YOLOv5 model is more effective than the existing insulator defect detection methods.
{"title":"An Improved Model Based on Deep Learning for Detecting Insulator Defects","authors":"Tao Yin, Jianfeng Liang, Xunru Liang, Zeting Chen, Xiaoyu Tang","doi":"10.1109/ICICSP55539.2022.10050712","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050712","url":null,"abstract":"Insulators are a vital portion of high-voltage transmission lines. Defective insulators will cause the power system to fail, resulting in significant losses. Although the traditional methods of detecting the insulator defect based on image detection have improved detection efficiency, the problem of low detection accuracy and poor real-time performance arises when the aerial image resolution is high and the environmental background is complex. In this paper, an improved YOLOv5 model is proposed to solve these issues. On the basis of the YOLOv5 model, BiFPN is used as the neck part to strengthen the feature extraction capability of the model to enhance detection accuracy. We also integrate Transformer and Coordinate Attention to capture important insulator edge information and reduce the interference of complex backgrounds. The model was tested several times on a dataset that we built ourselves. The AP value of the improved YOLOv5 model for insulator defect detection is 98.6%, and the average processing speed per image is 4.5ms. The experimental results indicate that the improved YOLOv5 model is more effective than the existing insulator defect detection methods.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125791457","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}
A coprime array (CA) consisting of two subarrays is of considerable interest in the low redundancy linear array design. As known, discontinuous sensors lead to blurred angle measurements in the difference co-array. This paper proposes an efficient aperture extension method and a matrix completability discriminator based on the undirected adjacency graph of the matrix. First, we construct a zero-filled Hankel matrix with single snapshot signals received from a non-uniform CA. Then, we take the low-rank feature as a heuristic and complete the zero-dilled Hankel matrix. At last, the subarrays of the CA are traversed to design the minimum complementable coprime array (MCCA) via the discriminator. By simulation, we verify that the difference co-array of the MCCA can be completed to the maximum virtual aperture of the CA and reduce the noise.
{"title":"Minimum Complementable Coprime Array Design Based on Undirected Adjacency Graph","authors":"Tianyao Long, Qiang Li, Lei Huang, Xinzhu Chen, Hanfei Zhou, Deyin Xia","doi":"10.1109/ICICSP55539.2022.10050693","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050693","url":null,"abstract":"A coprime array (CA) consisting of two subarrays is of considerable interest in the low redundancy linear array design. As known, discontinuous sensors lead to blurred angle measurements in the difference co-array. This paper proposes an efficient aperture extension method and a matrix completability discriminator based on the undirected adjacency graph of the matrix. First, we construct a zero-filled Hankel matrix with single snapshot signals received from a non-uniform CA. Then, we take the low-rank feature as a heuristic and complete the zero-dilled Hankel matrix. At last, the subarrays of the CA are traversed to design the minimum complementable coprime array (MCCA) via the discriminator. By simulation, we verify that the difference co-array of the MCCA can be completed to the maximum virtual aperture of the CA and reduce the noise.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125482260","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050607
Zhang Maoyi, Cheng Shuiying, Zheng Hui
Starlink is one of the new option for passive radar, which is a system including two Non-Geostationary orbit (NGSO) constellations, to provide high speed internet to end-users. In this paper, the feasibility of using these satellite emissions as illuminator of opportunity (IoO) for passive radar to achieve the detection of airborne targets is investigated. Three aspects are taken into consideration: satellite's link power budget, detectable time and range and Doppler migrations generated during long time integration (LTI). In addition, results obtained from Starlink are compared to those of GNSS-based system to gain an appreciation of relative merits and drawbacks. The results show that Starlink-based system has a certain potential in the application of airborne targets detection.
{"title":"Feasibility of Starlink Transmissions for Passive Airborne Targets Detection","authors":"Zhang Maoyi, Cheng Shuiying, Zheng Hui","doi":"10.1109/ICICSP55539.2022.10050607","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050607","url":null,"abstract":"Starlink is one of the new option for passive radar, which is a system including two Non-Geostationary orbit (NGSO) constellations, to provide high speed internet to end-users. In this paper, the feasibility of using these satellite emissions as illuminator of opportunity (IoO) for passive radar to achieve the detection of airborne targets is investigated. Three aspects are taken into consideration: satellite's link power budget, detectable time and range and Doppler migrations generated during long time integration (LTI). In addition, results obtained from Starlink are compared to those of GNSS-based system to gain an appreciation of relative merits and drawbacks. The results show that Starlink-based system has a certain potential in the application of airborne targets detection.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123947690","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}
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