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Influences of channel errors and interference on the OFDM-MIMO SAR 信道误差和干扰对OFDM-MIMO SAR的影响
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6585971
Xiulian Luo, Robert Wang, Y. Deng, Wei Xu
{"title":"Influences of channel errors and interference on the OFDM-MIMO SAR","authors":"Xiulian Luo, Robert Wang, Y. Deng, Wei Xu","doi":"10.1109/RADAR.2013.6585971","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6585971","url":null,"abstract":"The orthogonal frequency division multiplexing (OFDM) MIMO SAR is the combination of sub-aperture technique and sub-band technique to achieve high azimuth resolution, high range resolution, and wide swath simultaneously. However, the interference of the sub-bands and the channel errors (channel mismatches), like constant phase error, amplitude error, and sampling delay error of the fast time, have great influence on the imaging results. This paper concentrates on the pulse response after bandwidth synthesis with the consideration of the interference within two adjacent sub-bands and these channel errors respectively. The theoretical derivation and simulation experiments are given.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132332137","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
A novel method for along-track velocity estimation of moving targets in SAR image 一种新的SAR图像中运动目标沿航迹速度估计方法
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586101
Shichao Zheng, Hongjun Song, Robert Wang, Yunhua Luo
{"title":"A novel method for along-track velocity estimation of moving targets in SAR image","authors":"Shichao Zheng, Hongjun Song, Robert Wang, Yunhua Luo","doi":"10.1109/RADAR.2013.6586101","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586101","url":null,"abstract":"A novel method for along-track motion parameter estimation of moving targets is presented in this paper. The along-track velocity causes moving targets smeared in SAR images, hence it is in great need to estimate the along-track velocity of moving targets. In this paper, a method known as Coherent Map-Drift (CMD) is adopted to estimate the velocity of moving targets. By using this approach, the along-track velocity of moving targets can be estimated accurately without any iteration. Therefore it needs less computation compared to conventional methods. In addition, a range parameter estimation method using the range walk of moving target in time domain is adopted before the estimation of along-track parameters. Simulation is performed to validate the effectiveness of the proposed method.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130480472","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
Improvement of RCS estimation of large targets by using near-field approach 利用近场方法改进大目标RCS估计
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586098
E. Gillion, E. Rochefort, J. Claverie, C. Brousseau
{"title":"Improvement of RCS estimation of large targets by using near-field approach","authors":"E. Gillion, E. Rochefort, J. Claverie, C. Brousseau","doi":"10.1109/RADAR.2013.6586098","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586098","url":null,"abstract":"This paper presents a new method in order to estimate the Radar Cross Section (RCS) of large objects in their environments. Object is defined as a volumetric surface and will be considered as a metallic target at a finite distance. This estimation is based on the use of dyadic Green's function method which includes near-field issues. Simulations have been made in a frequency band between 1 to 20 GHz. Some simulated results of RCS estimation of a large metallic target taking into account the sea effect, are presented.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134542468","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
New techniques for testing and operational support of AESA radars AESA雷达测试和操作支持的新技术
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586042
S. Kemkemian, C. Enderli, A. Larroque
{"title":"New techniques for testing and operational support of AESA radars","authors":"S. Kemkemian, C. Enderli, A. Larroque","doi":"10.1109/RADAR.2013.6586042","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586042","url":null,"abstract":"The Active Antennas (AESA) technology has dramatically increased the operational capability of modern radars. Nevertheless, minimize production costs and cost of ownership of these systems is also a major industrial objective. The paper is organized in two parts. The first one deals with improvements achieved so far for reducing the costs and the complexity of industrial testing. In the second part, a data mining method, based on Bayesian Networks, is presented. It aims at processing all data issued from the Built-In-Test (B.I.T.) in order to accurately detect some defects impossible to catch with current methods, such as transient failures or initiation of youth's defects. Originally planned for testing in production, this new performing method could replace, in the future, the current B.I.T. processing, which is used in operational support.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132887041","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
Cognitive radar information networks for security - Enhancing risk mitigation for reducing operator overload 用于安全的认知雷达信息网络。减少操作员过载的增强风险缓解
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6585972
T. Nohara, S. Haykin
{"title":"Cognitive radar information networks for security - Enhancing risk mitigation for reducing operator overload","authors":"T. Nohara, S. Haykin","doi":"10.1109/RADAR.2013.6585972","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6585972","url":null,"abstract":"The paper presents a practical foundation for building and deploying affordable, cognitive radar information networks (CRINs) to secure large, unmanned borders such as the 3,700 km Canada/U.S. border that runs through the Great Lakes. The proposed systems and methods are novel and necessary if radar's future in the 21st century is to embody the risk management principles needed to optimize system and operator resources for detection of suspicious target behaviour. Human cognitive abilities of attention and intelligence are proposed as cardinal characteristics that are built into CRINs to provide force multiplication and reduce operator overload.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132933101","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
Clutter reduction based on coefficient of variation in through-wall radar imaging 基于变分系数的穿壁雷达成像杂波抑制
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586062
X. Chen, Weidong Chen
{"title":"Clutter reduction based on coefficient of variation in through-wall radar imaging","authors":"X. Chen, Weidong Chen","doi":"10.1109/RADAR.2013.6586062","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586062","url":null,"abstract":"In this paper, the coefficient of variation (CV), defined as the ratio of the standard deviation to the mean in statistics, is applied to through-wall imaging for clutter reduction. The received signals coming from a given point in the imaging scene are taken as the statistical samples of its corresponding pixel in the image. Then the CVs in three classes of pixels are examined: the target pixel, the clutter pixel, and the noise pixel. It could be observed that the CV in target pixel is much smaller than that in clutter pixel as well as in noise pixel. Taking advantage of this, each pixel in the image is weighted by the reciprocal of its CV. The corrected image shows that this approach can highlight the target pixels by suppressing the clutter and noise pixels. The effectiveness of this approach is validated using both simulation and real data.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133774619","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: 9
Target tracking using particle filter with X-band nautical radar x波段航海雷达粒子滤波目标跟踪
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6585993
Supeng Chen, Weimin Huang
{"title":"Target tracking using particle filter with X-band nautical radar","authors":"Supeng Chen, Weimin Huang","doi":"10.1109/RADAR.2013.6585993","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6585993","url":null,"abstract":"In this paper, a particle filter (PF) method is proposed for target tracking based on a practical X-band nautical radar image sequence, using two histogram-based target models: a kernel-weighted histogram model and a background-weighted histogram model. In particular, the sampling importance resampling (SIR) particle filter is implemented to provide a recursively probabilistic estimation procedure for target tracking. For the measurement model of the particle filter, a Bhattacharyya coefficient based similarity function is utilized to compare the reference target and target candidate, which are represented by the histogram of the target area in the radar image. Within the PF tracking procedure, both the kernel-weighted and background-weighted models are applied with estimated target tracks compared with the practical GPS data. The experiment shows that both models can effectively complete the target tracking task with the kernel-weighted model performing better when the reference model is accurately selected, with the background-weighted model being more flexible.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115534289","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
Sea surface oil slick detection from GNSS-R Delay-Doppler Maps using the spatial integration approach 基于空间积分方法的GNSS-R延迟多普勒地图海面浮油探测
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6585990
Chen Li, Weimin Huang
{"title":"Sea surface oil slick detection from GNSS-R Delay-Doppler Maps using the spatial integration approach","authors":"Chen Li, Weimin Huang","doi":"10.1109/RADAR.2013.6585990","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6585990","url":null,"abstract":"This paper investigates the methodology of applying the spatial integration approach (SIA) to the scattering coefficient retrieval from GNSS-R signals for sea surface oil slick detection. The SIA has been traditionally used in the generation of simulated Delay-Doppler Maps, which emphasizes the power contribution of every sea surface point. While in this paper, the SIA is applied to the scattering coefficient retrieval with a reasonable approximation to relate the Delay-Doppler domain and the spatial domain. To validate this approach, a simulated Delay-Doppler Map over an oil slicked area based on the measured oil data and wind speed of an actual oil spill event is analyzed. Particularly, the configuration of the UK-DMC GNSS-R receiver, which includes its sampling rate and noise level, is considered in the oil slick detection process. A theoretical comparison between the commonly used Jacobian approach and the SIA reveals their differences in methodology and the cause of errors. The result indicates that with acceptable extra time consumption, the SIA increases the accuracy of the scattering coefficient retrieval algorithm, especially in the area surrounding the ambiguity-free line.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114517982","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
Elliptic Gaussian filtering for Time-Frequency signal analysis 椭圆高斯滤波时频信号分析
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6585973
T. O. Gulum, A. Erdogan, L. Durak-Ata, T. Yıldırım, P. E. Pace
{"title":"Elliptic Gaussian filtering for Time-Frequency signal analysis","authors":"T. O. Gulum, A. Erdogan, L. Durak-Ata, T. Yıldırım, P. E. Pace","doi":"10.1109/RADAR.2013.6585973","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6585973","url":null,"abstract":"Increased use of low probability of intercept (LPI) waveforms in current radar systems, enforces the use of sophisticated hardware and signal processing algorithms in intercept receiver technology. In this study, an adaptive filtering technique based on elliptic Gaussian filter is proposed to be used by intercept receivers. The filter is implemented on Wigner-Ville Distribution (WVD) images of different intercepted LPI radar waveforms to de-noise the image in order to help the Electronic Support operators in the signal analysis effort. The slope of the LFM waveforms, thus the filter's, can be determined by using Hough Transform, Radon Transform or any other method.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125954541","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
Performance bounds for long-dwell, multi-channel radar 长驻留多通道雷达的性能界限
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586046
A. S. Paulus, W. Melvin, Douglas B. Williams
{"title":"Performance bounds for long-dwell, multi-channel radar","authors":"A. S. Paulus, W. Melvin, Douglas B. Williams","doi":"10.1109/RADAR.2013.6586046","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586046","url":null,"abstract":"This paper examines the detection of weak moving targets using long-dwell, multi-channel radar. The impact of unknown target motion on detection performance is addressed. Signal-to-noise ratio (SNR) loss caused by mismatch between the matched filter and the actual target phase history - as might occur when using conventional space-time adaptive processing (STAP) - is quantified, and major factors contributing to this loss are identified. Limits on dwell time and target motion are established for conventional STAP. Results in this paper form a basis for long-dwell algorithm development.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128357100","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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