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2016 IEEE Radar Conference (RadarConf)最新文献

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Estimation and cancellation of high powered radar interference for communication signal collection 通信信号采集中大功率雷达干扰的估计与消除
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485263
Geoffrey R Meager, R. Romero, Zachary Staples
{"title":"Estimation and cancellation of high powered radar interference for communication signal collection","authors":"Geoffrey R Meager, R. Romero, Zachary Staples","doi":"10.1109/RADAR.2016.7485263","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485263","url":null,"abstract":"In this paper, we investigate the demodulation of a communication signal that is interfered by a high-powered radar signal. We choose quaternary phase-shift keying (QPSK) modulation for illustration. A least squares estimator (LSE) is used to estimate the amplitude and phase of the interfering radar signal to be used for interference cancellation. Then a maximum likelihood detection (MLD) receiver is used. We show that the QPSK SER improvement in the radar interference environment depends on collection time. For large collection times, the SER approaches the theoretical SER for QPSK. Unfortunately, as the collection time decreases the variance of the radar estimate increases, which degrades the SER. Further, we show increases in radar estimate variance as the QPSK SNR increases, which affects the SER. We propose a form of interference cancellation based on estimating the radar signal and then subtracting it from the received signal prior to MLD of the communication signal.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"24 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":"131236894","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: 18
A sparsity based approach to velocity SAR imaging 基于稀疏度的速度SAR成像方法
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485115
R. Raj, R. Jansen, M. Sletten
{"title":"A sparsity based approach to velocity SAR imaging","authors":"R. Raj, R. Jansen, M. Sletten","doi":"10.1109/RADAR.2016.7485115","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485115","url":null,"abstract":"We recently successfully developed an airborne MSAR (Multichannel Synthetic Aperture Radar) test bed system that consists of 32 along-track phase centers through the use of two transmit horns and 16 receive antennas [1-4]. We have subsequently deployed this system, both in September 2014 and more recently in October 2015, to perform extensive and systematic data collections on a variety of land-based and maritime targets under different environmental conditions. The resulting data poses important signal processing challenges pertaining to optimum ways of combining the signals obtained from various channels so that the underlying information of interest can be effectively extracted in the presence of noise and clutter. In this paper we focus on the imaging problem and propose a novel method of simultaneously exploiting the multichannel structure of the data acquisition and the underlying sparse structure of the scene being imaged. After giving a brief overview of our airborne NRL MSAR system and the basics of velocity processing, we proceed to describe our novel algorithm and demonstrate our initial experimental results. The novelty of this paper is two-fold: to the best of our knowledge, this is first time that velocity processing has been used in conjunction with sparsity based processing; and that the resulting approach is applied to real data captured by our airborne NRL MSAR system.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"13 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":"122256250","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
Gapped spectrum shaping for tandem-hopped radar/communications & cognitive sensing 用于串联跳变雷达/通信和认知传感的间隙频谱整形
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485067
John Jakabosky, Brandon Ravenscroft, S. Blunt, A. Martone
{"title":"Gapped spectrum shaping for tandem-hopped radar/communications & cognitive sensing","authors":"John Jakabosky, Brandon Ravenscroft, S. Blunt, A. Martone","doi":"10.1109/RADAR.2016.7485067","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485067","url":null,"abstract":"A non-repeating FMCW waveform was recently developed and experimentally demonstrated to provide a feasible instantiation of FM noise radar. This emission scheme was subsequently examined in terms of the impact of both stationary and hopped spectral gaps with the prospect of enabling in-band interference avoidance for cognitive sensing and possibly tandem hopped radar/communications. Here this gap-hopped spectrum framework is further explored with regard to the relation between the shaping of spectral gaps and the associated time sidelobe response. Experimental loopback measurements are shown that provide a sense of how this form of emission would operate on a real system.","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":"125713540","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: 42
Mitigation of saturation in adaptive clutter cancellation 自适应杂波消除中饱和度的降低
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485260
A. Farina, R. Petrucci, C. Hao, K. Shi, D. Orlando
{"title":"Mitigation of saturation in adaptive clutter cancellation","authors":"A. Farina, R. Petrucci, C. Hao, K. Shi, D. Orlando","doi":"10.1109/RADAR.2016.7485260","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485260","url":null,"abstract":"This paper describes the problem of finding an optimum radar signal processor by taking into account the limited dynamic range of the receiver. The nonlinearities, the phase noise and other limitations effects of radar receivers have been extensively studied in the open literature. However, to the best of authors' knowledge, the above studies do not adequately cover the topic of finding the optimum radar signal processor in the presence of the receiver nonlinearity. In this paper we start to devise a method that mitigates the nonlinearity effects in designing the optimum target detector in the presence of noise-like interference and receiver noise. To this end, we present the calculation of the likelihood ratio (LR) in the presence of the nonlinearity and address the solution of the calculation of the probability density function (pdf) of this LR by exploiting suitable mathematical results in a simple study case.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"13 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":"124029874","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
PMCW waveform and MIMO technique for a 79 GHz CMOS automotive radar 79 GHz CMOS汽车雷达的PMCW波形和MIMO技术
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485114
A. Bourdoux, U. Ahmad, D. Guermandi, S. Brebels, A. Dewilde, W. V. Thillo
{"title":"PMCW waveform and MIMO technique for a 79 GHz CMOS automotive radar","authors":"A. Bourdoux, U. Ahmad, D. Guermandi, S. Brebels, A. Dewilde, W. V. Thillo","doi":"10.1109/RADAR.2016.7485114","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485114","url":null,"abstract":"Automotive radars in the 77-81 GHz band will be widely deployed in the coming years. This paper provides a comparison of the bi-phase modulated continuous wave (PMCW) and linear frequency-modulated continuous wave (FMCW) waveforms for these radars. The comparison covers performance, implementation and other non technical aspects. Multiple Input Multiple Output (MIMO) radars require perfectly orthogonal waveforms on the different transmit antennas, preferably transmitting simultaneously for fast illumination. In this paper, we propose two techniques: Outer code and Range domain, to enable MIMO processing on the PMCW radars. The proposed MIMO techniques are verified with both simulation and lab experiments, on a fully integrated deep-submicron CMOS integrated circuit designed for a 79 GHz PMCW radar. Our analysis shows that, although not widely used in the automotive industry, PMCW radars are advantageous for low cost, high volume single-chip production and excellent performance.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"92 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":"132621330","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: 66
Introduction of low probability of recognition to radar system classification 低概率识别在雷达系统分类中的应用
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485269
J. R. van der Merwe, W. D. du Plessis, F. Maasdorp, J. Cilliers
{"title":"Introduction of low probability of recognition to radar system classification","authors":"J. R. van der Merwe, W. D. du Plessis, F. Maasdorp, J. Cilliers","doi":"10.1109/RADAR.2016.7485269","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485269","url":null,"abstract":"This paper proposes the addition of low probability of recognition (LPR) to the electronic warfare classification of radar systems. LPR radars focus on deceiving electronic support (ES) receivers by selecting waveforms which are agile in their parameter spaces, or by mimicking existing transmitters. LPR provides an additional mechanism to achieve covert operation in a way which builds on low probability of interception (LPI) and low probability of detection (LPD) techniques. The challenges and opportunities of LPR techniques are considered, and some examples of existing waveforms which are suitable for LPR radars are provided.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"12 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":"130449599","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: 8
Detection in sea clutter by artificial diversity based on statistical dithering 基于统计抖动的人工分集海杂波检测
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485321
A. Hizal
{"title":"Detection in sea clutter by artificial diversity based on statistical dithering","authors":"A. Hizal","doi":"10.1109/RADAR.2016.7485321","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485321","url":null,"abstract":"The complex total signal (TS) comprising clutter, noise and targets' signal (TaS) is multiplied by a complex random variable to decorrelate TaS during the time on target. Then, an artificial clutter-like signal, the dithering signal (DS), is added to the resultant TS. The detectability factor (DF) of the modified TaS is calculated under these conditions. For sea and land clutters, respectively, an equivalent K-distribution (K-Dist) and Weibull distribution (W-Dist) pdfs are tail fitted to the pdf of the modified total interference (TI) using Monte Carlo (MC) simulations. It is observed that considerable diversity gain (DivG) and dithering gain (DitG) for the DF can be obtained by this procedure. Slowly fluctuating Swerling (SW) and Weinstock (WS) targets are considered.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"62 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":"130455688","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
Using an information-theoretic sensor placement algorithm to assess classifier robustness 使用信息论传感器放置算法来评估分类器的鲁棒性
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485233
J. Wilcher, A. Lanterman, W. Melvin
{"title":"Using an information-theoretic sensor placement algorithm to assess classifier robustness","authors":"J. Wilcher, A. Lanterman, W. Melvin","doi":"10.1109/RADAR.2016.7485233","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485233","url":null,"abstract":"In this paper, we use an information theoretical sensor placement algorithm to assess the impact of target camouflage, concealment, and deception (CCD) effects on classifier performance. Physics-based target models are constructed to exhibit varying CCD effects of a single target class. An information theoretical sensor placement algorithm is used to identify potential sensor locations yielding highly probable discrimination of test targets representing non-CCD and CCD targets. Platforms are positioned according to the identified sensor locations for classification processing. Classification performance results are presented and discussed in the context of the modeled CCD effect. Results demonstrate the effectiveness of the placement algorithm to identify sensor locations void of the intended CCD effects.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"83 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":"128602625","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
Multi-target localization using frequency diverse coprime arrays with coprime frequency offsets 多目标定位使用不同频率的同素阵列与同素频率偏移
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485154
Si Qin, Yimin D. Zhang, M. Amin
{"title":"Multi-target localization using frequency diverse coprime arrays with coprime frequency offsets","authors":"Si Qin, Yimin D. Zhang, M. Amin","doi":"10.1109/RADAR.2016.7485154","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485154","url":null,"abstract":"The performance of the frequency diverse array (FDA) radar is fundamentally limited by the geometry of the array and the frequency offset. In this paper, we overcome this limitation by introducing a novel sparsity-based multi-target localization approach incorporating both coprime array and coprime frequency offset. The covariance matrix of the received signals corresponding to all sensors and employed frequencies is formulated to generate a space-frequency virtual difference coarrays. The proposed approach enables the localization of up to O(M2 N2) targets using O(M + N) physical sensors with O(M + N) frequencies for a coprime pair of M and N. The joint DOA and range estimation is cast as a sparse reconstruction problem and solved using the complex multi-task Bayesian compressive sensing technique.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"6 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":"132017652","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: 16
Range-Doppler processing via fourier coefficients: The path to a sub-Nyquist SAR 通过傅立叶系数的距离-多普勒处理:到达亚奈奎斯特SAR的路径
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485295
Kfir Aberman, Yonina C. Eldar
{"title":"Range-Doppler processing via fourier coefficients: The path to a sub-Nyquist SAR","authors":"Kfir Aberman, Yonina C. Eldar","doi":"10.1109/RADAR.2016.7485295","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485295","url":null,"abstract":"The increasing demand for wide swath, high-resolution, Synthetic Aperture Radar (SAR) images, requires high sampling rates which are difficult to attain in practice. Consequently, sampling rate reduction is of high practical value in radar imaging. In this paper, we introduce a new algorithm, equivalent to the well-known Range-Doppler method, to process SAR data using the Fourier coefficients of the raw signals. We then demonstrate how to exploit the new algorithm features, particularly, the relationship between the processed signals before and after Range Cells Migration Correction (RCMC), to reduce sampling rate at the acquisition stage and process the signals effectively at sub-Nyquist rates. Beyond sampling rate reduction, the proposed fast recovery algorithm forms a new CS-SAR imaging method that can be applied to high-quality and high-resolution real SAR imaging data acquired at sub-Nyquist rates. The performance of the algorithms is assessed using simulated data sets.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":" 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132095824","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
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