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2010 IEEE Radar Conference最新文献

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Full scene SAR processing in seconds using a reconfigurable optronic processor 全场景SAR处理在几秒钟内使用可重构的光电处理器
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494406
L. Marchese, M. Doucet, B. Harnisch, M. Suess, P. Bourqui, N. Desnoyers, Mathieu Legros, L. Mercier, L. Guillot, A. Bergeron
{"title":"Full scene SAR processing in seconds using a reconfigurable optronic processor","authors":"L. Marchese, M. Doucet, B. Harnisch, M. Suess, P. Bourqui, N. Desnoyers, Mathieu Legros, L. Mercier, L. Guillot, A. Bergeron","doi":"10.1109/RADAR.2010.5494406","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494406","url":null,"abstract":"This paper introduces a compact real-time reconfigurable optronic SAR processor. SAR images are typically processed electronically applying dedicated Fourier transformations. The optronic processor performs these tasks at the speed of light. The prototype has the capability to generate a SAR image blocks in about 1.5 seconds and a complete ASAR scene in about 10 seconds. It may be instantaneously reconfigured to process data from any of the 7 ASAR image swath modes. In addition to being real-time and reconfigurable, the prototype is also light weight, small and low power consuming, thus well-suited for on-board SAR image processing.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129143327","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
High resolution radar tomographic imaging using single-tone CW signals 使用单音连续波信号的高分辨率雷达层析成像
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494477
Hongbo Sun, H. Feng, Yilong Lu
{"title":"High resolution radar tomographic imaging using single-tone CW signals","authors":"Hongbo Sun, H. Feng, Yilong Lu","doi":"10.1109/RADAR.2010.5494477","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494477","url":null,"abstract":"Radar tomographic imaging is a special radar imaging technique which can achieve very high spatial resolution (up to ¼ wavelength) but with very narrow signal bandwidth. Although the theory of radar tomography had been developed for more than 20 years, very few experimental results can be found in public literatures. In this paper, the radar tomographic imaging is investigated and some measurement results of radar tomographic imaging using single-tone CW signals are presented. The theoretical spatial resolution is achieved and good agreement is obtained between the measured and simulated results.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129918469","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 Bayesian filtering algorithm in jump Markov systems with application to track-before-detect 跳跃马尔可夫系统中的贝叶斯滤波算法及其在检测前跟踪中的应用
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494397
N. Bardel, N. Abbassi, F. Desbouvries, W. Pieczynski, F. Barbaresco
{"title":"A Bayesian filtering algorithm in jump Markov systems with application to track-before-detect","authors":"N. Bardel, N. Abbassi, F. Desbouvries, W. Pieczynski, F. Barbaresco","doi":"10.1109/RADAR.2010.5494397","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494397","url":null,"abstract":"Track-before-detect (TBD) aims at tracking trajectories of a target prior to detection by integrating raw measurements over time. Many TBD algorithms have been developed in the literature, based on the Hough Transform, Dynamic Programming or Maximum Likelihood estimation. However these methods fail in the case of maneuvering targets and/or non straight-line motion, or become very computationally expensive when the SNR gets low. Other techniques are based on the so-called switching or jump-Markov state-space system (JMSS) model. However, a drawback of JMSS is that it is not possible to perform exact Bayesian restoration. As a consequence, one has to resort to approximations such as particle filtering (PF). In this paper we propose an alternative method to approximate the optimal filter, which does not make use of Monte Carlo approximation. Our method is validated by computer simulations.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130620973","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
Empirical model of vegetation clutter in forward scatter radar micro-sensors 前向散射雷达微传感器植被杂波的经验模型
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494494
M. Gashinova, M. Cherniakov, N. Zakaria, V. Sizov
{"title":"Empirical model of vegetation clutter in forward scatter radar micro-sensors","authors":"M. Gashinova, M. Cherniakov, N. Zakaria, V. Sizov","doi":"10.1109/RADAR.2010.5494494","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494494","url":null,"abstract":"Spectral and statistical properties of measured vegetation clutter are analyzed for ground-based forward scatter radar (FSR) sensors operating in VHF/UHF bands employing omni-directional antennas. The empirical computer simulation model of vegetation clutter is proposed.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123486122","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: 20
Information theoretic measures for MFR tracking control MFR跟踪控制的信息论措施
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494475
A. Charlish, K. Woodbridge, H. Griffiths
{"title":"Information theoretic measures for MFR tracking control","authors":"A. Charlish, K. Woodbridge, H. Griffiths","doi":"10.1109/RADAR.2010.5494475","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494475","url":null,"abstract":"Multi-function radar resource management addresses how to unlock the potential of electronically steered arrays by allocating and configuring radar resource, for a variety of tasks, in a way which maximises performance. To improve the quality of the allocation novel approaches are called upon, which inevitably require an accurate measure of effectiveness. Information theory shows potential for filling this role by providing a measure independent of task type. As such this paper investigates the use of information theory to control the dedicated track function using a narrow beam. Allocations using the information theoretic measures are compared with a standard approach, in terms of update rate, information rate, root mean squared error and track loss.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114335911","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
3D feature estimation for sparse, nonlinear bistatic SAR apertures 稀疏非线性双基地SAR孔径的三维特征估计
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494608
J. Jackson, R. Moses
{"title":"3D feature estimation for sparse, nonlinear bistatic SAR apertures","authors":"J. Jackson, R. Moses","doi":"10.1109/RADAR.2010.5494608","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494608","url":null,"abstract":"We present an algorithm for extracting 3D canonical scattering features observed over sparse, bistatic SAR apertures. The input to the algorithm is a collection of noisy bistatic measurements which are, in general, collected over nonlinear flight paths. The output of the algorithm is a set of canonical scattering features that describe the 3D scene geometry. The algorithm employs a pragmatic approach to initializing feature estimates by first forming a 3D reflectivity reconstruction using sparsity-regularized least squares methods. Regions of high energy are detected in the reconstructions to obtain initial feature estimates. A single canonical feature, corresponding to a geometric shape primitive, is fit to each region via nonlinear optimization of fit error between the complex phase history data and parametric scattering models using a modification of the CLEAN method. Feature extraction results are presented for sparsely-sampled, nonlinear, 3D bistatic scattering prediction data of a simple scene.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124304439","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
Optimal transmitting diversity degree-of-freedom for statistical MIMO radar 统计MIMO雷达的最优发射分集自由度
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494582
Jia Xu, Xi-Zeng Dai, X. Xia, Libao Wang, Ji Yu, Yingning Peng
{"title":"Optimal transmitting diversity degree-of-freedom for statistical MIMO radar","authors":"Jia Xu, Xi-Zeng Dai, X. Xia, Libao Wang, Ji Yu, Yingning Peng","doi":"10.1109/RADAR.2010.5494582","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494582","url":null,"abstract":"Statistical multiple-input multiple-output (MIMO) radar may improve the fluctuated target detection by utilizing the multiple separate transmitting and receiving elements. Nevertheless, the transmitting power of single element is reciprocal to the transmitting element number, and the ultimate detection performance of MIMO radar may be inversely deteriorated with the increase of the transmitting elements. In this letter, the optimal transmitting diversity DOF, i.e., the optimal separate transmitting elements, is defined based on the proposed likelihood ratio test (LRT) detectors. Furthermore, with the given false alarm probability and detection probability, the closed-form optimal DOF approximations are derived for the two sub-forms of statistical MIMO radar, i.e., distributed MIMO radar and multiple-input single-output (MISO) radar, respectively. It is shown that a small transmitting diversity DOF, as well as the small number of orthogonal transmitting waveforms, may be needed for optimizing the statistical MIMO radar spatial diversity performance. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115911326","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
Real-time tracking of bullet trajectory based on chirp transform in a multi-sensor multi-frequency radar 多传感器多频雷达中基于啁啾变换的子弹轨迹实时跟踪
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494435
Xin Li, Yimin D. Zhang, M. Amin
{"title":"Real-time tracking of bullet trajectory based on chirp transform in a multi-sensor multi-frequency radar","authors":"Xin Li, Yimin D. Zhang, M. Amin","doi":"10.1109/RADAR.2010.5494435","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494435","url":null,"abstract":"Radar-based tracking technologies enable sub-time-of-flight bullet detection and trajectory tracking before the bullet reaches its target and thus lead to effective reduction of injuries and casualties. The capability of robust detection, tracking, and trajectory prediction in a weak signal environment directly translates to the awareness time for force protection. In this paper, we develop a multi-sensor multi-frequency radar platform and proposed the use of piecewise chirp transform for effective signal enhancement when the Doppler signatures are highly time-varying. Performed upon the time-frequency representations with improved phase information, multi-sensor multi-frequency radars uniquely localize and track bullets through unambiguous range and direction-of-arrival estimations.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133893128","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
Double-step fast CFAR scheme for multiple target detection in high resolution SAR images 高分辨率SAR图像中多目标检测的双步快速CFAR方案
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494444
C. Jung, Woo-Young Song, Soo H. Rho, Jung Kim, Jung T. Park, Y. Kwag
{"title":"Double-step fast CFAR scheme for multiple target detection in high resolution SAR images","authors":"C. Jung, Woo-Young Song, Soo H. Rho, Jung Kim, Jung T. Park, Y. Kwag","doi":"10.1109/RADAR.2010.5494444","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494444","url":null,"abstract":"A new double-step fast CFAR scheme is proposed for multiple target detection in SAR images. The conventional multiple-cell based CFAR (MC-CFAR) detector is performed to find a potential target area. MC-CFAR carries out a quick search by which the CFAR sliding window is shifted by several cells for the reduced computational loads and it can also effectively reduce the small sized false alarm in the vicinity of the test cell. For the final target decision, the single-cell based CFAR detection is only applied to the pre-processed potential target areas. Using real-SAR image, the proposed CFAR scheme is compared with the conventional method in the sense of computational time and false alarm rate, which shows the faster computational speed and the lower false alarm rate.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131555646","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
An efficient scaled maximum likelihood algorithm for translational motion estimation in ISAR imaging ISAR成像中平移运动估计的高效比例极大似然算法
2010 IEEE Radar Conference Pub Date : 2010-05-10 DOI: 10.1109/RADAR.2010.5494650
T. Berger, S. Hamran
{"title":"An efficient scaled maximum likelihood algorithm for translational motion estimation in ISAR imaging","authors":"T. Berger, S. Hamran","doi":"10.1109/RADAR.2010.5494650","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494650","url":null,"abstract":"In ISAR imaging, the relative motion between the target and the radar must be known precisely to produce focused radar images. The translational motion of the target must be compensated for to use only the rotational motion around a fixed centre point for the imaging of the target. An efficient implementation of a maximum likelihood (ML) algorithm for translational motion estimation based on the Chirp-Z transform is described. If the line of sight vector from the radar to the target is not within the rotational plane of the object, or the rotational plane changes during the observation time, and strong reflectors tend to bias the estimate of translational motion. A scaling of range profiles is shown to reduce the bias. The shear average algorithm is similar to the algorithm described here, but it only estimates translational motion to within half the carrier wavelength. Simulated and experimental data are used to show the effectiveness of the algorithm. An image sharpness measure is used to indicate the effects of scaling as a preprocessing step on experimental data. All results are compared to those obtained by shear average and prominent point processing techniques.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131037217","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
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