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2016 IEEE Radar Conference (RadarConf)最新文献

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An lp-based reconstruction algorithm for compressed sensing radar imaging 一种基于lp的压缩感知雷达图像重构算法
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485202
Le Zheng, A. Maleki, Q. Liu, Xiaodong Wang, Xiaopeng Yang
{"title":"An lp-based reconstruction algorithm for compressed sensing radar imaging","authors":"Le Zheng, A. Maleki, Q. Liu, Xiaodong Wang, Xiaopeng Yang","doi":"10.1109/RADAR.2016.7485202","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485202","url":null,"abstract":"Radar scientists have recently explored the application of compressed sensing for generating high resolution range profiles (HRRPs) from a limited number of measurements. The last decade has witnessed a surge of algorithms for this purpose. Among these algorithms complex-valued approximate message passing (CAMP) has attracted attention for the following reasons: (i) it converges very fast, (ii) its mean-squared-error can be accurately predicted theoretically at every iteration, (iii) it is straightforward to control the false alarm rate and optimize for the best probability of detection. Despite its nice features, the recovery performance of CAMP is similar to ℓ1-minimization and hence is expected to be improved. The goal of this paper is to first show how the algorithm can be extended to solve non-convex optimization problems. Based on our framework we develop a new algorithm called adaptive ℓp-CAMP that not only has all the nice properties of CAMP, but also provably outperforms it. We explore the performance of our algorithm on a real radar data and show that our new algorithm generates SNRs that are up to 6dB better than those of the other existing algorithms including the original CAMP.","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":"131191923","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: 5
A recursive approach for adaptive parameters selection in a multifunction radar 多功能雷达自适应参数选择的递归方法
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485148
M. Alahmadi, G. E. Smith, C. Baker
{"title":"A recursive approach for adaptive parameters selection in a multifunction radar","authors":"M. Alahmadi, G. E. Smith, C. Baker","doi":"10.1109/RADAR.2016.7485148","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485148","url":null,"abstract":"The challenge of using radar resource management (RRM) to provide the attention element of cognition for radar systems is addressed in this paper. A multifunction radar model is introduced that is used to develop a radar resource allocation approach. We propose a recursive form of the radar resource allocation problem by adapting the radar parameters every time the radar revisits the target. The approach is applied to the problem of tracking multiple targets with different RCS configuration. We show how the approach can provide better utilization of the radar resources by giving the correct attention to the target track task.","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":"133412147","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
Unambiguous SAR imaging algorithm via spotlight mode for multichannel SAR systems 基于聚束模式的多通道SAR系统无二义成像算法
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485256
Xiaojiang Guo, Yesheng Gao, Kaizhi Wang, Xingzhao Liu
{"title":"Unambiguous SAR imaging algorithm via spotlight mode for multichannel SAR systems","authors":"Xiaojiang Guo, Yesheng Gao, Kaizhi Wang, Xingzhao Liu","doi":"10.1109/RADAR.2016.7485256","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485256","url":null,"abstract":"Azimuth multichannel synthetic aperture radar (SAR) systems are capable of high-resolution and wide-swath (HRWS) imaging. This paper presents a novel unambiguous SAR imaging algorithm via spotlight mode for multichannel SAR systems. It's derived that the least unambiguous pulse repetition frequency (PRF) is the function of azimuth width of the illuminated area. By constructing spotlight SAR signals via digital beamforming (DBF) from multiple azimuth receivers, the wide azimuth imaging area can be divided into multiple narrow azimuth areas. Therefore, the least unambiguous PRF for the generated spotlight SAR signals could be reduced and unambiguous SAR images can be obtained by spotlight SAR imaging algorithms. Theoretical analysis and experiments based on real measurements from an airborne multichannel SAR system showed the simplicity and efficiency of the proposed imaging method.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"2006 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134476287","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-window post-Doppler dimensionality reduction for multi-waveform STAP 多波形STAP的多窗口后多普勒降维
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485080
Lumumba A. Harnett, Patrick M. McCormick, S. Blunt, J. Metcalf
{"title":"Multi-window post-Doppler dimensionality reduction for multi-waveform STAP","authors":"Lumumba A. Harnett, Patrick M. McCormick, S. Blunt, J. Metcalf","doi":"10.1109/RADAR.2016.7485080","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485080","url":null,"abstract":"A multi-waveform version of space-time adaptive processing, denoted as MuW-STAP (or W-STAP), was recently developed as a single-input multiple-output (SIMO) emission scheme that incorporates training data generated by multiple secondary filters into the estimation of the sample covariance matrix. This integration of additional training data was found to increase robustness to non-homogeneous clutter because the secondary filters serve to \"homogenize\" the interference in range. Here we incorporate μ-STAP into multi-window post-Doppler STAP (specifically PRI-Staggered and Adjacent-Bin implementations) to assess the impact when dimensionality reduction techniques are employed. SINR analysis was used to evaluate the performance of these reduced dimension μ-STAP formulations under various simulated clutter conditions.","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":"115448394","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: 2
Radar detector performance analysis using EM simulations of targets' RCS 基于目标RCS的电磁仿真雷达探测器性能分析
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485300
Teo Meng How, Yap Han Lun
{"title":"Radar detector performance analysis using EM simulations of targets' RCS","authors":"Teo Meng How, Yap Han Lun","doi":"10.1109/RADAR.2016.7485300","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485300","url":null,"abstract":"In radar detector performance analysis, it is known there exist targets that do not follow commonly used radar cross-section (RCS) fluctuation models such as the Swerling models. With advances in computational power, the full RCS distributions of many targets can be computed using electromagnetic (EM) simulations. However, these simulated RCS distributions are not fully exploited by radar designers in system performance prediction. In this paper, we demonstrate the calculation of the required SNR of a radar system for a given probability of detection (PD) and probability of false alarm (Pfa) using the EM-simulated RCS probability mass function (pmf) for the case of a coherent detector.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"172 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":"115879897","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
Modified multiple-measurement vector model for SAR imaging 改进的SAR成像多测量矢量模型
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485195
Yichang Chen, Gang Li, Qun Zhang
{"title":"Modified multiple-measurement vector model for SAR imaging","authors":"Yichang Chen, Gang Li, Qun Zhang","doi":"10.1109/RADAR.2016.7485195","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485195","url":null,"abstract":"The multiple measurement vectors (MMV) model can be used to effectively represent the jointly sparse signals. However, this model cannot be directly used in the scenario of synthetic aperture radar (SAR) imaging. The reason is that, the MMV model requires that the multiple sparse vectors have the common sparse pattern, while the SAR range profiles at different pulses have different sparse structures due to the range migration effect. In this paper, a modified MMV model is proposed for SAR imaging. The range migration effect is embedded into the proposed model, and a modified orthogonal matching pursuit (OMP) algorithm is developed to obtain the high-resolution range profile. Then the cross-range focusing is performed by traditional matched filtering operation. Simulations and experimental results are presented to demonstrate the effectiveness of the proposed model and algorithm.","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":"124158767","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: 5
Satellite-aided radar imaging (SARI) 卫星辅助雷达成像(SARI)
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485129
F. Davarian, S. Chan, C. Naudet, K. Oudrhiri
{"title":"Satellite-aided radar imaging (SARI)","authors":"F. Davarian, S. Chan, C. Naudet, K. Oudrhiri","doi":"10.1109/RADAR.2016.7485129","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485129","url":null,"abstract":"This paper describes a novel technique for radar imaging of space objects. The approach is founded on using a small satellite near the target of interest as the receive end of a high-power ground-based radar transmitter for imaging. The small satellite is equipped with an open loop receiver for sampling and processing the observed wideband signal and a GPS receiver for orbit determination. It also contains appropriate algorithms for signal processing and receive and transmit antennas for collecting the radar signal and transmitting telemetry to the ground. The discussion in this paper is limited mainly to a point design for simplicity. It should be noted that the reach and capability of the proposed approach go beyond the example presented in this paper.","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":"116416757","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
Train monitoring using GSM-R based passive radar 利用基于GSM-R的无源雷达进行列车监控
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485069
K. Chetty, Qingchao Chen, K. Woodbridge
{"title":"Train monitoring using GSM-R based passive radar","authors":"K. Chetty, Qingchao Chen, K. Woodbridge","doi":"10.1109/RADAR.2016.7485069","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485069","url":null,"abstract":"Train detection technologies are universal to all modern railway signal and control systems. They are essential for managing the movement of vehicles across entire transport networks, and to ensure their safe operation. In this paper we investigate the feasibility of a new train monitoring capability based on passive radar technology. The system exploits signal transmissions from the railways' GSM-Railway (GSM-R) radio communications infrastructure, and has the potential to determine the positions and velocities of trains over any section of a railway network where there is GSM-R coverage. A theoretical ambiguity function analysis on directly measured GSM-R waveforms suggest that targets can be detected with axial range resolutions of approximately 850 m, and velocities down to less than 1 mph. To demonstrate proof-of-concept, a series of experiments were carried out using a software-defined GSM-R passive radar system. The results show the first detections of trains at bistatic ranges of just over 1 km moving at various speeds. There are now hundreds of thousands of miles of railway track covered by GSM-R globally, with many more countries planning to rollout systems nationally. The results therefore imply that GSM-R based passive radar technology could be used to develop low-cost train monitoring capabilities worldwide alongside the existing GSM-R radio communications infrastructure.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"10 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":"123520204","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: 15
On a probabilistic approach to detect Noise Radar random transmit waveforms based on a simple circularity test 基于简单圆度测试的噪声雷达随机发射波形的概率检测方法
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485303
Leandro Pralon, Mariana G. Pralon, B. Pompeo, Gabriel Vasile
{"title":"On a probabilistic approach to detect Noise Radar random transmit waveforms based on a simple circularity test","authors":"Leandro Pralon, Mariana G. Pralon, B. Pompeo, Gabriel Vasile","doi":"10.1109/RADAR.2016.7485303","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485303","url":null,"abstract":"Noise Radars are electromagnetic systems that use random signals for detecting and locating reflecting objects. Besides high performance with respect to the suppression of range ambiguity in the detection of targets and low range sidelobes, they also present an intrinsic property of low probability of interception by other systems, due to the stochastic nature of their transmit waveforms. Traditional methods and equipment are often ineffective to detect the presence of such kind of radars, both in time and frequency, since they generally adopt an ultra-wide bandwidth (UWB) configuration, spreading its power through a broad portion of the spectrum. Within this context, this paper proposes a probabilistic approach based on a statistical property of random vectors, the circularity, to detect the presence of pulses of this nature in the scenario under study.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"81 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":"128472555","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
Isolating target return from reflections via Doppler differentiation 通过多普勒微分分离目标回波
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485139
Ravi Kadlimatti, A. Fam
{"title":"Isolating target return from reflections via Doppler differentiation","authors":"Ravi Kadlimatti, A. Fam","doi":"10.1109/RADAR.2016.7485139","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485139","url":null,"abstract":"It is shown that the direct radar return from a target has a higher Doppler shift when compared to any reflected component of this return from other nearby surfaces, if the angle of the direct return from the target to the velocity vector is smaller than that of the reflected component of the return. This is particularly the case in the common scenario of a target over a water surface which is targeted by an object at a higher elevation moving at a high speed. In this scenario, the spectrum of the return signal is evaluated and is judiciously divided in two frequency bands, the higher of which is caused only by the return from the target and not the reflection. By simply bandpass filtering the signal accordingly, the effect of the reflection is removed and the resolution of the antenna/phased array beam is improved. This approach could be combined with any of the existing methods of target return isolation and improve their 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":"128610500","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: 2
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