The paper presents a concrete algorithm elaborated to estimate object position in three-dimensional space using data obtained from netted monostatic radars with sensor position uncertainty. An influence of this uncertainty caused by navigation or geodetic errors of radar position determination on object position location accuracy has been examined for short and long range radar systems. Selected computational results have been presented and compared with results obtained under classical assumptions that sensor position determination errors do not exist.
{"title":"Position estimation from netted radar systems with sensor position uncertainty","authors":"L. Paradowski","doi":"10.1109/ICR.1996.574550","DOIUrl":"https://doi.org/10.1109/ICR.1996.574550","url":null,"abstract":"The paper presents a concrete algorithm elaborated to estimate object position in three-dimensional space using data obtained from netted monostatic radars with sensor position uncertainty. An influence of this uncertainty caused by navigation or geodetic errors of radar position determination on object position location accuracy has been examined for short and long range radar systems. Selected computational results have been presented and compared with results obtained under classical assumptions that sensor position determination errors do not exist.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127282595","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}
This paper describes methodologies for the on-line calculation of the weights to be used in the linear combination of the received radar data by a set of N antennas and M pulse repetition intervals (PRIs) for the derivation of the adapted space-time filter output. The numerically robust and computationally efficient QR-decomposition is used to derive the so called MVDR (minimum variance distortionless response) and lattice algorithms. Both algorithms are represented as a systolic computational flow graph. The MVDR is able to produce more than one adapted beam focused along different DOAs and Doppler frequencies in the radar surveillance volume. The lattice algorithm offers a computational saving; in fact its computational burden is O(N/sup 2/M) in lieu of O(N/sup 2/M/sup 2/). A comprehensive analysis of the numerical robustness of the algorithms is presented when the CORDIC-algorithm is used to compute the QR decomposition (QRD). Benchmarks on general purpose parallel computers and on a VLSI CORDIC (co-ordinate rotation digital computer) board are presented.
{"title":"Parallel algorithms and processing architectures for space-time adaptive processing","authors":"A. Farina, L. Timmoneri","doi":"10.1109/ICR.1996.574610","DOIUrl":"https://doi.org/10.1109/ICR.1996.574610","url":null,"abstract":"This paper describes methodologies for the on-line calculation of the weights to be used in the linear combination of the received radar data by a set of N antennas and M pulse repetition intervals (PRIs) for the derivation of the adapted space-time filter output. The numerically robust and computationally efficient QR-decomposition is used to derive the so called MVDR (minimum variance distortionless response) and lattice algorithms. Both algorithms are represented as a systolic computational flow graph. The MVDR is able to produce more than one adapted beam focused along different DOAs and Doppler frequencies in the radar surveillance volume. The lattice algorithm offers a computational saving; in fact its computational burden is O(N/sup 2/M) in lieu of O(N/sup 2/M/sup 2/). A comprehensive analysis of the numerical robustness of the algorithms is presented when the CORDIC-algorithm is used to compute the QR decomposition (QRD). Benchmarks on general purpose parallel computers and on a VLSI CORDIC (co-ordinate rotation digital computer) board are presented.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124730381","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 scheme for radar information compression and signal classification is presented in this paper. The exemplar function describing a target is decomposed onto wavelet packets from which the best basis is extracted. Then the reduced dimension subspace is obtained to represent approximately the original function. The target is characterized by a wavelet packet subspace called target subspace. An unknown signal is classified by the energy of the projection onto each target subspace. Simulation results show that the method is robust.
{"title":"Radar signal classification by projection onto wavelet packet subspaces","authors":"Tang Baiyu, J. Wenli, Ke Youan","doi":"10.1109/ICR.1996.573787","DOIUrl":"https://doi.org/10.1109/ICR.1996.573787","url":null,"abstract":"A scheme for radar information compression and signal classification is presented in this paper. The exemplar function describing a target is decomposed onto wavelet packets from which the best basis is extracted. Then the reduced dimension subspace is obtained to represent approximately the original function. The target is characterized by a wavelet packet subspace called target subspace. An unknown signal is classified by the energy of the projection onto each target subspace. Simulation results show that the method is robust.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115358616","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}
Liu Guo-sui, G. Hong, Z. Xiaohua, Sun Guangmin, Su YanBo, S. Weimin
This paper discusses a new kind of noise radar-the random binary phase coded (RBPC) CW radar system. First, the probability distribution and average ambiguity function (AAF) for the radar waveform and the probability distribution of the range sidelobe (RSL) are systematically analysed. Then, a statistical method of suppressing the RSL by more than 30 dB is presented. In the meantime, the design of the system parameters is made and the extension of the Doppler tolerance is discussed.
{"title":"Random binary phase coded CW radar system","authors":"Liu Guo-sui, G. Hong, Z. Xiaohua, Sun Guangmin, Su YanBo, S. Weimin","doi":"10.1109/ICR.1996.573820","DOIUrl":"https://doi.org/10.1109/ICR.1996.573820","url":null,"abstract":"This paper discusses a new kind of noise radar-the random binary phase coded (RBPC) CW radar system. First, the probability distribution and average ambiguity function (AAF) for the radar waveform and the probability distribution of the range sidelobe (RSL) are systematically analysed. Then, a statistical method of suppressing the RSL by more than 30 dB is presented. In the meantime, the design of the system parameters is made and the extension of the Doppler tolerance is discussed.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116084484","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}
Shi Jia-ming, Ling Yongshun, Qiu Lijian, Dong Wanping, Z. Guocheng
Radar cross section (RCS) of plasma has been given much attention because it is of interest in target detection and discrimination. In this paper emphasis is put upon the computation of the RCS of the turbulent plasma cylinder. The cylinder is circular in shape and its radius may be different at different axial stations. The distributions of the electrical properties in the cylinder are assumed to be nonuniform both radially and axially. The theoretical model, called the distorted Born approximation, is discussed. It takes into account the effects on the propagation of the EM wave of not only random scattering, depolarization but also the mean (nonrandom) plasma. The computation is carried out for two plasma cylinders in which the electrical properties distribution are taken directly from other computations concerning the rocket plume. The effects of the aspect angle and the frequency of the wave on the RCS are also evaluated.
{"title":"Computation of the RCS of a turbulent plasma cylinder","authors":"Shi Jia-ming, Ling Yongshun, Qiu Lijian, Dong Wanping, Z. Guocheng","doi":"10.1109/ICR.1996.574541","DOIUrl":"https://doi.org/10.1109/ICR.1996.574541","url":null,"abstract":"Radar cross section (RCS) of plasma has been given much attention because it is of interest in target detection and discrimination. In this paper emphasis is put upon the computation of the RCS of the turbulent plasma cylinder. The cylinder is circular in shape and its radius may be different at different axial stations. The distributions of the electrical properties in the cylinder are assumed to be nonuniform both radially and axially. The theoretical model, called the distorted Born approximation, is discussed. It takes into account the effects on the propagation of the EM wave of not only random scattering, depolarization but also the mean (nonrandom) plasma. The computation is carried out for two plasma cylinders in which the electrical properties distribution are taken directly from other computations concerning the rocket plume. The effects of the aspect angle and the frequency of the wave on the RCS are also evaluated.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116396617","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}
For slow target detection with airborne array radar, the ground clutter Doppler spreading due to the platform movement is a limiting factor, especially for long wavelength radar. It is shown that two procedures for slow target detection (Doppler-angle imaging or space-time processing, and movement compensation) are equivalent, and that an original real-time procedure for antenna array calibration using clutter returns can be combined with these detection techniques to increase subclutter visibility in the presence of high clutter returns.
{"title":"Clutter calibration for space-time airborne MTI radars","authors":"F. Le Chevalier, L. Savy, F. Durniez","doi":"10.1109/ICR.1996.573777","DOIUrl":"https://doi.org/10.1109/ICR.1996.573777","url":null,"abstract":"For slow target detection with airborne array radar, the ground clutter Doppler spreading due to the platform movement is a limiting factor, especially for long wavelength radar. It is shown that two procedures for slow target detection (Doppler-angle imaging or space-time processing, and movement compensation) are equivalent, and that an original real-time procedure for antenna array calibration using clutter returns can be combined with these detection techniques to increase subclutter visibility in the presence of high clutter returns.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122440313","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}
System simulation has become a tool that is of much help to the radar engineer in solving various problems of modern carrier-borne electronic scanning radar (CESR). This paper introduces the principles and design of a simulation system for CESR. The paper presents also the implementation of CESR simulation using a microcomputer. The system models the antenna beam position, multiple targets that have different RCS and trajectory, clutter interference, jamming and detection performance.
{"title":"Simulation system for carrier-borne electronic scanning radar-on target, environment, jamming and detecting performance","authors":"Ni Yuanghua, C. Julián","doi":"10.1109/ICR.1996.574531","DOIUrl":"https://doi.org/10.1109/ICR.1996.574531","url":null,"abstract":"System simulation has become a tool that is of much help to the radar engineer in solving various problems of modern carrier-borne electronic scanning radar (CESR). This paper introduces the principles and design of a simulation system for CESR. The paper presents also the implementation of CESR simulation using a microcomputer. The system models the antenna beam position, multiple targets that have different RCS and trajectory, clutter interference, jamming and detection performance.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122835622","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}
This paper presents a non-adaptive spatial-temporal 2-D signal processing for suppressing ground clutter received from side-looking phased array of airborne early warning radar. Since the clutter signal has the same complex envelope value located in a skew line of 2-D plane, the skew-canceling processing can completely cancel the clutter with the value of the corresponding canceling point on this skew line. Two methods based on this idea are introduced. Simulation shows that both computational loads are light, while the performance of the signal detection is approximately optimal and the real-time processing is easy to realize.
{"title":"The skew-canceling method in spatial-temporal processing","authors":"Qian Huisheng, Xie Sheng-xi, Zhang Wenwen","doi":"10.1109/ICR.1996.574471","DOIUrl":"https://doi.org/10.1109/ICR.1996.574471","url":null,"abstract":"This paper presents a non-adaptive spatial-temporal 2-D signal processing for suppressing ground clutter received from side-looking phased array of airborne early warning radar. Since the clutter signal has the same complex envelope value located in a skew line of 2-D plane, the skew-canceling processing can completely cancel the clutter with the value of the corresponding canceling point on this skew line. Two methods based on this idea are introduced. Simulation shows that both computational loads are light, while the performance of the signal detection is approximately optimal and the real-time processing is easy to realize.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114181574","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}
J. Jing, Guo Jing, Luo Peng Fei, Liu Sheng, Sun Zhong Kong
A multisensor system can provide a variety of target information (including dynamic parameters and attribute parameters). Target dynamic parameters are regarded as a kind of target kinematic attribute. A probability assignment method is explained in two cases both of process noise and measurement noise being Gaussis statistics and of being non-Gaussis statistics. A multisensor multiple-attribute data association method is presented based on Dempster and Shafer (D-S) evidence theory, and this approach is illustrated by simulations involving multisensor multiple targets in a dense clutter environment. Comparison with the NN (nearest-neighbour) method which only uses target dynamic parameters shows that the approach has an improved tracking accuracy and resolved correlation ambiguity.
{"title":"Multisensor multiple-attribute data association","authors":"J. Jing, Guo Jing, Luo Peng Fei, Liu Sheng, Sun Zhong Kong","doi":"10.1109/ICR.1996.574474","DOIUrl":"https://doi.org/10.1109/ICR.1996.574474","url":null,"abstract":"A multisensor system can provide a variety of target information (including dynamic parameters and attribute parameters). Target dynamic parameters are regarded as a kind of target kinematic attribute. A probability assignment method is explained in two cases both of process noise and measurement noise being Gaussis statistics and of being non-Gaussis statistics. A multisensor multiple-attribute data association method is presented based on Dempster and Shafer (D-S) evidence theory, and this approach is illustrated by simulations involving multisensor multiple targets in a dense clutter environment. Comparison with the NN (nearest-neighbour) method which only uses target dynamic parameters shows that the approach has an improved tracking accuracy and resolved correlation ambiguity.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129864070","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}
Current chirp radar systems both at home and abroad usually adopt an antijamming technique by a spread spectrum close to the monochromic frequency so that a guidance radar station may have the ability of anti-active-jamming and anti-passive-jamming, anti-reconnaissance, anti-antiradiation missile, and anti-stealth. However, this technique can not meet the needs of the modern electronic countermeasures. This paper deals with a new method with which multifrequency spread spectrum and hopping spectrum are used instead of monofrequency spread spectrum, and introduces the method of generating the chirp signal and corresponding matched filter system.
{"title":"Realization of processing system for anti-interference signal based on multifrequency spread spectrum and hopping spectrum","authors":"Wang Lisen, Dou Zhenzhong","doi":"10.1109/ICR.1996.574528","DOIUrl":"https://doi.org/10.1109/ICR.1996.574528","url":null,"abstract":"Current chirp radar systems both at home and abroad usually adopt an antijamming technique by a spread spectrum close to the monochromic frequency so that a guidance radar station may have the ability of anti-active-jamming and anti-passive-jamming, anti-reconnaissance, anti-antiradiation missile, and anti-stealth. However, this technique can not meet the needs of the modern electronic countermeasures. This paper deals with a new method with which multifrequency spread spectrum and hopping spectrum are used instead of monofrequency spread spectrum, and introduces the method of generating the chirp signal and corresponding matched filter system.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128976739","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：