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2016 IEEE Radar Conference (RadarConf)最新文献

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Multi-dimensional mismatch filter design optimization for radar waveforms 雷达波形的多维失配滤波器设计优化
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485138
W. Blake
{"title":"Multi-dimensional mismatch filter design optimization for radar waveforms","authors":"W. Blake","doi":"10.1109/RADAR.2016.7485138","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485138","url":null,"abstract":"This paper will present a methodology to optimize the design of a mismatch filter using the least squares solution. This approach utilizes two parameters referred to as the designed mainlobe width and the diagonal loading value. The metrics under consideration for this filter design are mainlobe width, peak sidelobe level (PSL), mean sidelobe level (MSL), and mismatch loss. Using this technique significant improvements of over 40 dB PSL and nearly 25 dB MSL are gained for less than 1 dB degradation in mismatch loss and slight increase in mainlobe width. This design is based on waveforms that are physically realizable and are often found in weather radar and other remote sensing applications.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126490372","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}
引用次数: 7
Training-based adaptive transmit-receive beamforming for random phase radar signals 基于训练的随机相位雷达信号自适应收发波束形成
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485259
M. Shaghaghi, R. Adve
{"title":"Training-based adaptive transmit-receive beamforming for random phase radar signals","authors":"M. Shaghaghi, R. Adve","doi":"10.1109/RADAR.2016.7485259","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485259","url":null,"abstract":"The advent of increasingly sophisticated control over the transmitted signal has enabled the consideration of multiple input, multiple output (MIMO) radar systems wherein each transmitter transmits a different waveform. Exploiting this capability, MIMO radars can improve target detection by jointly designing the transmit signal and receive filter so as to optimize the resulting signal-to-interference-plus-noise ratio (SINR). However, the SINR depends on the clutter covariance matrix which, in turn, is a function of the transmitted signal. This paper considers the joint design of adaptive transmit and receive weights to maximize the SINR of a target at a chosen look angle-Doppler point. This is akin to extending receive-only space-time adaptive processing (STAP) to include transmit adaptivity. Previous work in joint design assumed that the required second-order statistics are known a priori. In this paper we develop a method to estimate the required statistics through a number of training sequences. The estimation is based on received data only, and does not assume any specific structure for, or a-priori knowledge of, the clutter covariance matrix. We do assume that the clutter statistics do not change during the training and detection intervals. Simulation results show that, as in receive-only STAP, the proposed method does not suffer from a large SINR loss with respect to the known-covariance case.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121658294","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}
引用次数: 1
Minimum statistical dispersion beamforming for MIMO radar MIMO雷达最小统计色散波束形成
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485161
Xue Jiang, D. Bliss
{"title":"Minimum statistical dispersion beamforming for MIMO radar","authors":"Xue Jiang, D. Bliss","doi":"10.1109/RADAR.2016.7485161","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485161","url":null,"abstract":"A minimum dispersion based beamformer is developed for multiple-input multiple-output (MIMO) radar. In statistics, dispersion is defined as the expectation of the pth power of the modulus of a random variable, which can be considered as a generalization of variance with p = 2. By noticing that the linear combination of the transmitted waveforms at the target location exhibits non-Gaussian property, we adopt the minimum dispersion criterion at the receiver instead of the widely used minimum variance criterion, which implicitly exploits non-Gaussianity and hence improves the performance of the beamformer. Simulation results are provided to demonstrate the robustness and accuracy of the proposed method compared with the conventional beamforming techniques.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121661274","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}
引用次数: 1
Low SNR track detection with OTHR based on a refraction model 基于折射模型的OTHR低信噪比航迹检测
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485146
K. Romeo, Y. Bar-Shalom, P. Willett
{"title":"Low SNR track detection with OTHR based on a refraction model","authors":"K. Romeo, Y. Bar-Shalom, P. Willett","doi":"10.1109/RADAR.2016.7485146","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485146","url":null,"abstract":"The Maximum Likelihood Probabilistic Multi-Hypothesis Tracker (ML-PMHT), which is a Deep Track Extractor (DTE), is formulated for and applied to several Over-The-Horizon radar (OTHR) scenarios: a surface target, a constant altitude target, and a constant vertical acceleration target. We use a refraction-based ionosphere model through the application of a ray tracing algorithm. Each scan can contain multiple measurements (up to four) originating from each target; each of these target-originated measurements takes one of four possible round-trip paths and any of these may fail to be detected. Also a large number of false alarms, indistinguishable from the target-originated measurements, are present due to the necessary low detection threshold for low SNR targets. The multipath ML-PMHT likelihood ratio models this uncertainty in the measurement path which then allows for the fusion of multipath data in the presence of false measurements. This tracker is shown to have a high track detection probability and track accuracy with a low probability of false track in very low signal to noise ratio (SNR) OTHR scenarios.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121593248","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}
引用次数: 6
Hopped-frequency waveform design for optimal detection in spectral congested environment 频谱拥塞环境下的跳频波形优化设计
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485089
Dehua Zhao, Yinsheng Wei, Yongtan Liu
{"title":"Hopped-frequency waveform design for optimal detection in spectral congested environment","authors":"Dehua Zhao, Yinsheng Wei, Yongtan Liu","doi":"10.1109/RADAR.2016.7485089","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485089","url":null,"abstract":"In this paper, we suggest the hopper-frequency (HopF) waveform for cognitive probing in spectral congested environment. Similar with stepped-frequency (SF) waveform, HopF waveform is very easy for implementation and processing. Besides, it also has the necessary degree of freedom (DOF) to achieve high spectrum efficiency and to suppress range sidelobes, thanks to its very flexible carriers. In this paper, echo of HopF waveform is analyzed and the associated signal-to-noise ratio (SNR) gain and correlation output under different filtering schemes are deduced under assumption that the interference spectrum is known. The cognition of HopF waveform is then achieved by optimizing the range correlation sidelobes with SNR constraint. Design examples and simulated processing results are reported to validate the proposed approach and illustrate how the HopF waveforms work in spectral congested environment.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125170983","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}
引用次数: 0
NISAR L-band digital electronics subsystem: A multichannel system with distributed processors for digital beam forming and mode dependent filtering NISAR l波段数字电子子系统:一个多通道系统，具有用于数字波束形成和模式相关滤波的分布式处理器
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485225
Chung-Lun Chuang, S. Shaffer, N. Niamsuwan, Samuel Li, E. Liao, C. Lim, Vu A. Duong, Barry Volain, K. Vines, Muh-Wang Yang, K. Wheeler
{"title":"NISAR L-band digital electronics subsystem: A multichannel system with distributed processors for digital beam forming and mode dependent filtering","authors":"Chung-Lun Chuang, S. Shaffer, N. Niamsuwan, Samuel Li, E. Liao, C. Lim, Vu A. Duong, Barry Volain, K. Vines, Muh-Wang Yang, K. Wheeler","doi":"10.1109/RADAR.2016.7485225","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485225","url":null,"abstract":"The NASA-ISRO Synthetic Aperture Radar (NISAR) L-band SAR instrument employs multiple digital channels to optimize resolution while keeping a large swath on a single pass. High-speed digitization with fine synchronization and digital beam forming are necessary in order to facilitate this new technique called SweepSAR. An architecture employing multiple FPGA based digital signal processors has been conceived to facilitate digital calibration on an individual channel basis as well as digital signal processing to optimize the receive signal. On-board processing and data compression has been implemented to reduce the volume of data in order to satisfy the operational requirements of near global coverage for the desired science targets. A novel command and timing architecture was developed to manage this complex system to meet the challenging project requirements. The NISAR L-band Digital Electronics Subsystem is the combination of the hardware, firmware and software components architected and implemented to operate this radar and return the desired quantity and quality of data for the science community.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125324418","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}
引用次数: 6
Game theoretic data association for multi-target tracking with varying number of targets 变目标数多目标跟踪的博弈论数据关联
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485219
Abdullahi Daniyan, Yu Gong, S. Lambotharan
{"title":"Game theoretic data association for multi-target tracking with varying number of targets","authors":"Abdullahi Daniyan, Yu Gong, S. Lambotharan","doi":"10.1109/RADAR.2016.7485219","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485219","url":null,"abstract":"We investigate a game theoretic data association technique for multi-target tracking (MTT) with varying number of targets. The problem of target state-estimate-to-track data association has been considered. We use the SMC-PHD filter to handle the MTT aspect and obtain target state estimates. We model the interaction between target tracks as a game by considering them as players and the set of target state estimates as strategies. Utility functions for the players are defined and a regret-based learning algorithm with a forgetting factor is used to find the equilibrium of the game. Simulation results are presented to demonstrate the performance of the proposed technique.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127797587","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}
引用次数: 7
Site planning and illuminator variability for DTV-based passive radar 基于数字电视的无源雷达的场地规划和照明变异性
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485090
Kevin M. Scott, Ted Dabrowski, W. Barott, B. Himed
{"title":"Site planning and illuminator variability for DTV-based passive radar","authors":"Kevin M. Scott, Ted Dabrowski, W. Barott, B. Himed","doi":"10.1109/RADAR.2016.7485090","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485090","url":null,"abstract":"This paper compares results of a simulation study and experimental measurement campaign designed to evaluate the performance of a DTV-based passive radar. The simulations considered a tower-mounted receiver in Springfield, Ohio, and predicted the accuracy of localizing airborne targets using the illuminations of regional transmitters. The predicted coverage area was found to vary with the selection of the propagation loss model used by the simulator. Supporting experiments at the site did not favor any particular model, but showed 10 dB variations in both the direct path and clutter over several hours. These results illustrate the need to accurately model tropospheric radio propagation in passive radar performance predictions.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133563572","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}
引用次数: 3
Cognitive waveform design for anti-velocity deception jamming with adaptive initial phases 自适应初始相位抗速度欺骗干扰的认知波形设计
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485306
Wei Xiong, Xinhai Wang, Gong Zhang
{"title":"Cognitive waveform design for anti-velocity deception jamming with adaptive initial phases","authors":"Wei Xiong, Xinhai Wang, Gong Zhang","doi":"10.1109/RADAR.2016.7485306","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485306","url":null,"abstract":"A new cognitive radar waveform design strategy is outlined to counter the velocity deception jamming based on adaptive initial phases. The kernel is to adapt the Doppler spectrum of radar echo with jamming power suppressed in some stopbands, where the true targets exist. Meanwhile, a multi-channel processing trick with different integral multiple pulse repetition interval (PRI) delay is employed to estimate the parameters of true and false targets, especially the lagged PRI number of DRFM repeat-back jammer which fakes the false targets. Simulation results of the jamming suppression and multi-channel processing-based parameter cognition demonstrate the effectiveness and feasibility of our proposed scheme.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134286168","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}
引用次数: 10
Active contour extraction method for objects with a rough surface using single-chip FMCW radars 基于单片机FMCW雷达的粗糙表面目标主动轮廓提取方法
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485228
D. Damyanov, B. Friederich, T. Schultze, I. Willms, R. Salman, J. Barowski, I. Rolfes
{"title":"Active contour extraction method for objects with a rough surface using single-chip FMCW radars","authors":"D. Damyanov, B. Friederich, T. Schultze, I. Willms, R. Salman, J. Barowski, I. Rolfes","doi":"10.1109/RADAR.2016.7485228","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485228","url":null,"abstract":"In this paper a method for contour extraction of objects with a high degree of surface roughness in the range of 60 GHz Radar is presented. The proposed algorithm is based on an active contour model (snake) with external forces called component normalized gradient vector flow (CN-GVF). The snake algorithm extracts the contour of the object under test (OUT) based on wavefront Radar imaging methods. Experimental validations were performed with two fully integrated wideband frequency modulated continuous-wave (FMCW) single-chip Radar transceivers with an operational band from 57 GHz to 64 GHz, a corner cube retroreflector and a target object with a high degree of surface roughness.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134380710","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}
引用次数: 4
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