Pub Date : 2016-10-01DOI: 10.1109/RADAR.2016.8059240
Xianxiang Yu, G. Cui, Shangwei Gao, L. Kong, Tianxian Zhang, Jianyu Yang
This paper considers the sparse linear array (SLA) design problem of coherent unambiguous transmit for the distributed aperture coherence-synthetic radar (DACR), accounting for the antenna size constraint and geography constraint in which elements can not be placed in a given aperture. We develop the peak sidelobe level (PSL) based cost function, which considers the sum of the PSL when the mainlobe located at all scanning angles. Then, we derive the antenna element locations by minimizing the cost function through PSO algorithm. Finally, several numerical simulations verify the effectiveness of the proposed SLA design method.
{"title":"Sparse array design for distributed aperture coherence-synthetic radar","authors":"Xianxiang Yu, G. Cui, Shangwei Gao, L. Kong, Tianxian Zhang, Jianyu Yang","doi":"10.1109/RADAR.2016.8059240","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059240","url":null,"abstract":"This paper considers the sparse linear array (SLA) design problem of coherent unambiguous transmit for the distributed aperture coherence-synthetic radar (DACR), accounting for the antenna size constraint and geography constraint in which elements can not be placed in a given aperture. We develop the peak sidelobe level (PSL) based cost function, which considers the sum of the PSL when the mainlobe located at all scanning angles. Then, we derive the antenna element locations by minimizing the cost function through PSO algorithm. Finally, several numerical simulations verify the effectiveness of the proposed SLA design method.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115126308","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059279
Tao Jin, Y. Qin, Xuebin Wang, Huihui Xian
This paper presents an analysis of the polarimetric detection algorithms in simultaneous polarimetric radar. The classical polarimetric detection performance of the optimal polarimetric detector (OPD), the polarimetric whitening filter (PWF), the Polarimetric Matched Filter (PMF) and Span Detection are summarized under the reciprocity. However, with consideration of the influence of the spatial polarization characteristics of antenna, a novel nonreciprocal polarimetric detector under nonreciprocity is proposed. Through the detection performance comparison of stable target in Gaussian noise, nonreciprocal algorithm yields better detection performance than OPD.
{"title":"A novel nonreciprocal detector for simultaneous polarimetric radar","authors":"Tao Jin, Y. Qin, Xuebin Wang, Huihui Xian","doi":"10.1109/RADAR.2016.8059279","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059279","url":null,"abstract":"This paper presents an analysis of the polarimetric detection algorithms in simultaneous polarimetric radar. The classical polarimetric detection performance of the optimal polarimetric detector (OPD), the polarimetric whitening filter (PWF), the Polarimetric Matched Filter (PMF) and Span Detection are summarized under the reciprocity. However, with consideration of the influence of the spatial polarization characteristics of antenna, a novel nonreciprocal polarimetric detector under nonreciprocity is proposed. Through the detection performance comparison of stable target in Gaussian noise, nonreciprocal algorithm yields better detection performance than OPD.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115131800","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059545
Jiacen Xu, Q. Liu, Shaoqiang Chang, LiXiang Ren
A novel low complexity time-of arrival (TOA) estimation method is presented in this paper. This method achieves a precise TOA estimation under low SNR condition for unknown intra-pulse modulated signal, especially for frequency modulated pulse. Firstly, delayed conjugate multiplication is employed to reduce the intra-pulse modulation as well as estimate the rough range of received pulse. Then, in the precise estimation part, a novel intra-pulse correlation accumulation method is used by accumulating the pre-processed signal with a proper gain. Finally, simulation results are given to examine the estimating performance and a better estimation of unknown intra-pulse modulated signal is achieved compared with the existing methods.
{"title":"A novel TOA estimation method for unknown modulated pulse","authors":"Jiacen Xu, Q. Liu, Shaoqiang Chang, LiXiang Ren","doi":"10.1109/RADAR.2016.8059545","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059545","url":null,"abstract":"A novel low complexity time-of arrival (TOA) estimation method is presented in this paper. This method achieves a precise TOA estimation under low SNR condition for unknown intra-pulse modulated signal, especially for frequency modulated pulse. Firstly, delayed conjugate multiplication is employed to reduce the intra-pulse modulation as well as estimate the rough range of received pulse. Then, in the precise estimation part, a novel intra-pulse correlation accumulation method is used by accumulating the pre-processed signal with a proper gain. Finally, simulation results are given to examine the estimating performance and a better estimation of unknown intra-pulse modulated signal is achieved compared with the existing methods.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116798211","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059146
Shunda Wang, C. Fan, Xiaotao Huang
In this article we present the simulation of bistatic inverse synthetic aperture radar (B-ISAR) imaging by exploiting back projection (BP) algorithm. We show the whole signal processing steps from coherent processing to final image forming in a certain given bistatic system setup. BP algorithm is utilized in the simulation and the results are shown and discussed to verify the validation of BP imaging. Micro-Doppler effect is induced by the movement of additional parts of the target and may vary because of different observing angles. In a bistatic radar system whose transmitter and receiver are separate, the received signal is determined by both the angle respect to the transmitter and the receiver. In this paper we also present the micro-Doppler analysis of a simulated rotating point target in a bistatic radar setup. We calculate the rotation matrix relative to different coordinates and apply the Short Time Fourier Transform (STFT) to analysis the micro-Doppler effect.
{"title":"BP imaging and micro-Doppler analysis in bistatic ISAR system","authors":"Shunda Wang, C. Fan, Xiaotao Huang","doi":"10.1109/RADAR.2016.8059146","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059146","url":null,"abstract":"In this article we present the simulation of bistatic inverse synthetic aperture radar (B-ISAR) imaging by exploiting back projection (BP) algorithm. We show the whole signal processing steps from coherent processing to final image forming in a certain given bistatic system setup. BP algorithm is utilized in the simulation and the results are shown and discussed to verify the validation of BP imaging. Micro-Doppler effect is induced by the movement of additional parts of the target and may vary because of different observing angles. In a bistatic radar system whose transmitter and receiver are separate, the received signal is determined by both the angle respect to the transmitter and the receiver. In this paper we also present the micro-Doppler analysis of a simulated rotating point target in a bistatic radar setup. We calculate the rotation matrix relative to different coordinates and apply the Short Time Fourier Transform (STFT) to analysis the micro-Doppler effect.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121359863","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059191
Hongwei Gao, Baoliang Zhou, Dongming Zhou, Zhenyi Jin
Distributed Aperture Coherence-synthetic Radar is an innovative radar system, based on the spatial accumulation thinking to realize long range detect and high precision measurement, is considered to be the next generation radar. GBX and FPS-7 radar and other related reports show that the distributed aperture coherence-synthetic radar technology has entered the application phase. First, this paper introduced the distributed aperture coherence-synthetic radar's development overview, working principle and related concepts; secondly, analyzed the radar system key performance, given the experimental results of the radar system; at last, pointed out some problems for further research.
{"title":"Performance analysis and experimental study on distributed aperture coherence-synthetic radar","authors":"Hongwei Gao, Baoliang Zhou, Dongming Zhou, Zhenyi Jin","doi":"10.1109/RADAR.2016.8059191","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059191","url":null,"abstract":"Distributed Aperture Coherence-synthetic Radar is an innovative radar system, based on the spatial accumulation thinking to realize long range detect and high precision measurement, is considered to be the next generation radar. GBX and FPS-7 radar and other related reports show that the distributed aperture coherence-synthetic radar technology has entered the application phase. First, this paper introduced the distributed aperture coherence-synthetic radar's development overview, working principle and related concepts; secondly, analyzed the radar system key performance, given the experimental results of the radar system; at last, pointed out some problems for further research.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127354463","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059280
Q. Cheng, Yang Wang, Yuhao Yang
A target, such as an aircraft or a ballistic missile, may abruptly change its attitude under radar tracking, and it is very important to detect such changes for radar target recognition. Radar cross section (RCS) describes the scattering characteristics of the radar target, and it is an efficient feature for target recognition. RCS is sensitive to the target's attitudes, thus abrupt change of a target's attitude may cause abrupt change of its RCS sequence. In this paper, the problem of detecting abrupt change of an RCS sequence is studied. The duplicate circular average magnitude difference function (CAMDF) is exploited for detecting abrupt change of an RCS sequence, where we first compute duplicate CAMDF of the RCS sequence, and then fit duplicate CAMDF using a binomial function. This RCS sequence will have abrupt change if the root mean square (RMS) of the fitting errors is smaller than the threshold. In the experimental section, the effectiveness of our method on both simulation data and real data is verified.
{"title":"Detecting abrupt change of an RCS sequence using duplicate CAMDF","authors":"Q. Cheng, Yang Wang, Yuhao Yang","doi":"10.1109/RADAR.2016.8059280","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059280","url":null,"abstract":"A target, such as an aircraft or a ballistic missile, may abruptly change its attitude under radar tracking, and it is very important to detect such changes for radar target recognition. Radar cross section (RCS) describes the scattering characteristics of the radar target, and it is an efficient feature for target recognition. RCS is sensitive to the target's attitudes, thus abrupt change of a target's attitude may cause abrupt change of its RCS sequence. In this paper, the problem of detecting abrupt change of an RCS sequence is studied. The duplicate circular average magnitude difference function (CAMDF) is exploited for detecting abrupt change of an RCS sequence, where we first compute duplicate CAMDF of the RCS sequence, and then fit duplicate CAMDF using a binomial function. This RCS sequence will have abrupt change if the root mean square (RMS) of the fitting errors is smaller than the threshold. In the experimental section, the effectiveness of our method on both simulation data and real data is verified.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125018657","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059461
Jie Xia, Jian-Yun Zhang, Xiaobo Li, Yunxiang Mao
Traditional time-domain adaptive filtering has limitation in signal detection and estimation under condition of low SNR. Therefore, a method of weak signal detection based on FRFT-domain adaptive filtering algorithm is presented. The method utilizes excellent features of FRFT(Fractional Fourier Transformation) specific to LFM signals, processes echo signals through adaptive filtering algorithm on FRFT domain and improves detection effects. Simulation results show that the proposed method can detect and estimate echo signals effectively under condition of low SNR and exceeds time-domain adaptive filtering on filtering effects.
{"title":"Weak signal detection based on FRFT-domain adaptive filtering algorithm","authors":"Jie Xia, Jian-Yun Zhang, Xiaobo Li, Yunxiang Mao","doi":"10.1109/RADAR.2016.8059461","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059461","url":null,"abstract":"Traditional time-domain adaptive filtering has limitation in signal detection and estimation under condition of low SNR. Therefore, a method of weak signal detection based on FRFT-domain adaptive filtering algorithm is presented. The method utilizes excellent features of FRFT(Fractional Fourier Transformation) specific to LFM signals, processes echo signals through adaptive filtering algorithm on FRFT domain and improves detection effects. Simulation results show that the proposed method can detect and estimate echo signals effectively under condition of low SNR and exceeds time-domain adaptive filtering on filtering effects.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125937967","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059380
Guangjun Cheng, Xiongjun Fu, Shanshan Ma, Chengyan Zhang, M. Xie
The co-frequency synchronous range false target deception jamming based on digital radio frequency memory is able to form stable tracks, which causing the radar to track the false target and be under great threat. In view of pulse system range tracking radar, this paper proposes a new scheme of the inter-frame multiplicative non-coherent processing which counters the co-frequency synchronous range false target deception jamming with the pulse repetition period (PRT) agility. Radar system sends random PRT agility, and makes the responder synchronous false targets change into asynchronous false targets after entering the radar receiver, and then suppresses jamming by inter-frame multiplicative non-coherent accumulation. This method rejects the dense co-frequency synchronous range false targets jamming which can form stable tracks effectively, which has been approved by the simulation results.
{"title":"Anti-jamming technology of dense co-frequency synchronous range false targets","authors":"Guangjun Cheng, Xiongjun Fu, Shanshan Ma, Chengyan Zhang, M. Xie","doi":"10.1109/RADAR.2016.8059380","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059380","url":null,"abstract":"The co-frequency synchronous range false target deception jamming based on digital radio frequency memory is able to form stable tracks, which causing the radar to track the false target and be under great threat. In view of pulse system range tracking radar, this paper proposes a new scheme of the inter-frame multiplicative non-coherent processing which counters the co-frequency synchronous range false target deception jamming with the pulse repetition period (PRT) agility. Radar system sends random PRT agility, and makes the responder synchronous false targets change into asynchronous false targets after entering the radar receiver, and then suppresses jamming by inter-frame multiplicative non-coherent accumulation. This method rejects the dense co-frequency synchronous range false targets jamming which can form stable tracks effectively, which has been approved by the simulation results.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"23 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125954948","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059337
Binbin Peng, Xin Guan
The track association algorithm of radar and ESM (electronic support measures) at diffidence sites was researched in this paper. Firstly, a new location point based on ESM pseudo range was obtained by defining ESM pseudo range of target. Then, range statistics was constructed based on ESM pseudo range. Finally, the association algorithm proposed was well verified by Monte Carlo simulation.
{"title":"A new track association algorithm of radar and ESM","authors":"Binbin Peng, Xin Guan","doi":"10.1109/RADAR.2016.8059337","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059337","url":null,"abstract":"The track association algorithm of radar and ESM (electronic support measures) at diffidence sites was researched in this paper. Firstly, a new location point based on ESM pseudo range was obtained by defining ESM pseudo range of target. Then, range statistics was constructed based on ESM pseudo range. Finally, the association algorithm proposed was well verified by Monte Carlo simulation.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123809310","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 : 2016-10-01DOI: 10.1109/RADAR.2016.8059554
Xiaojing Liu, Wen Hu, Haiyang Zheng
This paper represented a method of radar subset selection based on fuzzy linear programming (FLP) for target localization in UAV radar system. Unlike existing radar subset selection policies, the cost factor of each radar is assigned a fixed value, from the fact that it is determined by the will of the decision maker in most cases, thus has a large extent of fuzziness — in this paper, we consider it as a fuzzy variable when selecting a subset of radars to achieve the localization minimum estimation mean-square error (MSE). In the first, the Cramer Rao bound (CRB) for localization estimation error is derived, which is used as a performance metric when selecting a subset of radars needed to complete a task. In the second, a heuristic algorithm based on FLP is proposed for radar subset selection. At last, a fuzzy objective function is constructed, and a reasonable solution is given by using the fuzzy simulation technique comparing with the case, where the cost factors in the objective function are previously assigned.
{"title":"Fuzzy linear programming based radar subset selection for target localization in UAV system","authors":"Xiaojing Liu, Wen Hu, Haiyang Zheng","doi":"10.1109/RADAR.2016.8059554","DOIUrl":"https://doi.org/10.1109/RADAR.2016.8059554","url":null,"abstract":"This paper represented a method of radar subset selection based on fuzzy linear programming (FLP) for target localization in UAV radar system. Unlike existing radar subset selection policies, the cost factor of each radar is assigned a fixed value, from the fact that it is determined by the will of the decision maker in most cases, thus has a large extent of fuzziness — in this paper, we consider it as a fuzzy variable when selecting a subset of radars to achieve the localization minimum estimation mean-square error (MSE). In the first, the Cramer Rao bound (CRB) for localization estimation error is derived, which is used as a performance metric when selecting a subset of radars needed to complete a task. In the second, a heuristic algorithm based on FLP is proposed for radar subset selection. At last, a fuzzy objective function is constructed, and a reasonable solution is given by using the fuzzy simulation technique comparing with the case, where the cost factors in the objective function are previously assigned.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403380","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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