基于点迹的雷达弱信噪比目标检测跟踪研究综述
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- 英文论文题名：Survey on Detect and Track Algorithm for Radar Weak Signal to Noise Ratio Targets Based on Plot
- 论文作者：丁海龙 ; 赵温波
- 英文论文作者：DING Hai-long ; ZHAO Wen-bo ; Army Officer Academy of PLA
- 年：2014
- 作者机构：解放军陆军军官学院;
- 论文关键词：雷达弱信噪比目标 ; 检测跟踪 ; 杂波
- 英文论文关键词：radar weak signal to noise ratio targets ; detect and track ; clutte
- 会议召开时间：2014-07-21
- 会议录名称：2014年全国电磁兼容与防护技术学术会议论文集（上）
- 语种：中文
- 分类号：TN957.51
- 学会代码：WBXB
- 会议名称：2014年全国电磁兼容与防护技术学术会议
- 会议地点：中国湖南常德
- 主办单位：中国电子学会微波分会、中国工程物理研究院复杂电磁环境科学与技术重点实验室、总装备部电磁兼容及防护技术专业组、天线与微波技术重点实验室
- 学会名称：《微波学报》编辑部
- 页数：9
- 文件大小：527k
- 原文格式：D
- 会议级别：全国
摘要
战场弱信噪比环境日益突出,给雷达检测与跟踪目标提出了严峻挑战,本文在参考国内外弱信噪比目标检测与跟踪研究成果的基础上,对基于点迹雷达弱信噪比目标检测跟踪技术进行了较为全面的综述,详细分析了四种典型的检测跟踪算法的原理、优缺点和研究进展,并展望了雷达弱信噪比目标检测跟踪技术有前景的研究方向。
Weak signal to noise ratio(SNR) environment in battlefield becomes increasingly prominent, which is a challenge to radar detecting and tracking target. Based on the home and abroad research achievements of detect and track algorithm for weak SNR targets, a comprehensive and up-to-date survey of the detect and track techniques based on plot for radar weak SNR targets is presented. This paper emphasizes the principles, performances and research progress of foure representative detect and track algorithms. Finally, the promising research directions of detect and track algorithm for radar weak SNR targets is presented.
Weak signal to noise ratio(SNR) environment in battlefield becomes increasingly prominent, which is a challenge to radar detecting and tracking target. Based on the home and abroad research achievements of detect and track algorithm for weak SNR targets, a comprehensive and up-to-date survey of the detect and track techniques based on plot for radar weak SNR targets is presented. This paper emphasizes the principles, performances and research progress of foure representative detect and track algorithms. Finally, the promising research directions of detect and track algorithm for radar weak SNR targets is presented.
引文
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[2]Hough P V C.Method and means for recognizing complex patterns[P].U S Patent,3069654,1962.
[3]Sklansky J.On the hough technique for curve detection[J].IEEE Trans Comput,1978,27(10),923-926.
[4]Ballard D H.Generalizing the Hough transform to detect arbitrary shapes[J].Pattern Recognition 1,1981,111-122.
[5]Carlson B D,Evans E D,Wilson S L.Sesrch radar detection and tack with the Hough transform,Part I:System concept[J].IEEE Tran,Aerospace and Electronic Systems,1994,30(1):102-108.
[6]Carlson B D,Evans E D,Wilson S L.Sesrch radar detection and tack with the Hough transform,Part II:Detection statistics[J].IEEE Tran,Aerospace and Electronic Systems,1994,30(1):109-115.
[7]Carlson B D,Evans E D,Wilson S L.Sesrch radar detection and tack with the Hough transform,Part III:Detection performance with binary integration[J].IEEE Tran Aerospace and Electronic Systems,1994,30(1):116
[8]Moshe Elazar.Sesrch radar tack-before-detect using the Hough transform[J].ADA 295245,1995(3).
[9]何伍福,王国宏,黄盛霖.Weibull海杂波环境中基于Hough变换的目标最优检测[J].现代雷达,2004,26(2):42-46.
[10]王国宏,何伍福.Weibull海杂波环境中基于Hough变换的目标检测研究[J].雷达与对抗,2004,02:24-30.
[11]何伍福.海杂波环境中基于Hough变换、混沌和分形的检测技术[D].海军航空工程学院,2004.
[12]何伍福,王国宏.海杂波环境中基于Hough变换的目标检测[C].全国第二届联合学术交流会议,2003
[13]黄勇,曲长文,苏峰.基于Hough变换的检测前跟踪算法的性能分析[J].现代雷达,2004,26(12):37-41.
[14]孔敏,王国宏等.基于规格化Hough变换的超视距雷达检测前跟踪算法[J].电讯技术,2009,49(12):51-56.
[15]吴泽民,张磊等.基于随机Hough变换的三维集中式航迹起始算法[J].电子学报,2013,41(5):840-847.
[16]鹿传国,冯新喜等.基于形态学和Hough变换的航迹起始研究[J].兵工学报,2013,34(6):704-710.
[17]鹿传国,冯新喜等.并行Hough变换航迹起始[J].雷达学报,2013,2(3):292-299.
[18]Barniv Y.Dynamic programming solution for detecting dim moving targets[J].IEEE Tran,Aerospace and Electronic Systems,1985,21(1):144-156.
[19]Barniv Y.Dynamic programming solution for detecting dim moving targets PartⅡ[J].IEEE Tran,Aerospace and Electronic Systems,1987,23(6):776-788.
[20]Johnston L A,Krishnamurthy V.Performance analysis of a dynamic programming track before detect algorithm[J].IEEE Tran,Aerospace and Electronic Systems,2002,38(1):228-242.
[21]Tonissen S M,Evans R J.Peformance of dynamic programming techniques for Track-Before-Detect[J].IEEE Tran Aerospace and Electronic Systems,1996,32(4):1440-1451.
[22]Buzzi S,Lops M,Venturino L.Track-before-detect procedures for early detection of moving target from airborne radars[J].IEEE Tran,Aerospace and Electronic Systems,2005,41(3):937-954.
[23]强勇,焦李成,保铮.一种有效的用于雷达弱目标检测的算法[J].电子学报,2003,31(3):440-443.
[24]李涛,吴嗣亮,曾海彬等.基于动态规划的雷达检测前跟踪新算法[J].电子学报,2008,36(9):1824-1828.
[25]Davey S J,et al.Track-before-detect for sensor with complex measurements[C].12th International Conference on Information Fusion,Seattle,WA,2009
[26]Yue S,et al.A Kalman filtering-based dynamic promming tracking-before-detec algorithmn for turn terget[C].International Conference on Communication Circuits and Systems,2010
[27]万洋,王首勇,吴卫华.机动弱小目标动态规划检测前跟踪方法[J].信号处理,2013,29(5):584-590.
[28]罗小云,李明,左磊等.基于动态规划的雷达微弱目标检测[J].系统工程与电子技术,2011,33(7):1491-1496.
[29]郑岱堃,王首勇,杨军等.一种基于二阶Markov目标状态模型的多帧关联动态规划检测前跟踪算法[J].电子与信息学报,2012,34(4):885-890.
[30]曹晓英,张智军,向建军等.基于改进动态规划的雷达弱小目标检测与跟踪[J].现代防御技术,2013,41(4):141-146.
[31]Gorden N,Salmond D.Novel approach to non-gaussian Bayesian state estimation[J].Proceeding of Institute Electric Engineering.1993,140:107-113.
[32]Cappe O,et al.A overview of existing methods and recent advances in sequential Monte Carlo[J].Proceeing of the IEEE,2007,95(5):899-924.
[33]王小旭,潘泉,黄鹤等.非线性系统确定采样型滤波算法综述[J].控制与决策,2012,27(6):801-812.
[34]杨小军,潘泉,张洪才.基于粒子滤波和似然比的联合检测与跟踪[J].控制与决策,2005,20(7):837-840.
[35]Salmond D J,Birch H.A particle filter for track-before-detect[C].IEEE Pro of the American Control Conf.Washington,2001:3755-3760.
[36]Ristic R,Arulampalam S,Gordon N.Beyond the Kalman filter:Particle filters for tracking application[M].Bostin London:Artech House,2004.
[37]Hinomaz P,Hong L.A multi-rate multiple model track-before-detect particle filter[J].Mathematicle and computer-modeling(S0895-7177),2009,49:146-162.
[38]吴孙勇,廖贵生,杨志伟.改进粒子滤波的弱目标跟踪与检测[J].宇航学报,2010,31(10):2395-2401.
[39]吴孙勇,廖贵生,杨志伟等.基于粒子滤波检测前跟踪改进算法[J].控制与决策,2010,25(12):1843-1847.
[40]梁新华,梁彦,潘泉等.一种局部搜索采样的粒子滤波检测前跟踪算法[J].控制与决策,2012,27(12):1912-1916.
[41]王华剑.基于Cubature粒子滤波检测前跟踪方法[J].火力与指挥控制,2013,38(5):62-65.
[42]龚亚信,杨宏文,胡卫东等.基于粒子滤波的弱目标检测前跟踪算法[J].系统工程与电子技术,2007,29(12):2143-2148.
[43]邹丁秋,程婷,何子述.一种新的基于似然比的弱目标TBD方法[J].雷达科学与技术,2013,11(3):305-310.
[44]Mcginnity S,Irwin G W.Multiple model bootstrap filter for maneuvering target tracking[C].IEEE Transaction on Aerospace and Electronic System,2000,36(3):1006-1012.
[45]Angelova D S,Semerdjiev T A,Jilkov V P.Application of a Monte Carlo method for tracking maneuvering target in clutter[J].Mathematics and Computers in Simulation,2001,55(1):15-23.
[46]闫文利,王建刚,柳毅.多模型粒子滤波在机动目标跟踪中的应用[J].电光与控制,2012,19(1):18-21,73.
[47]龚亚信,杨宏文,胡卫东等.基于多模型粒子滤波的机动弱目标检测前跟踪[J].电子与信息学报,2008,30(4):941-944.
[48]孙云,王国宏,谭顺成等.基于辅助粒子滤波的机动弱目标TBD算法[J].电光与控制,2013,20(7):28-31,92.
[49]M.C.Stein,C.L.Winter.An additive theory of Bayesian evidence accural[J].Report LA-UR-93-3336,Los Alamos National Laboratories,1993.
[50]Mahler R.A theoretical foundation for the Stein-Winter"probability hypothesis density(PHD)"multitarget tracking[J].Report 0704-0188,Lockheed Martin NE,2000.
[51]Mahler R.Multitarget Bayes filtering via first-order multi-target moment[J].IEEE Trans on Aerospace and Electronic Systems,2003,39(4):1152-1178.
[52]B.Vo,S.Singh,A.Doucet,Sequential Monte Carlo implementation of the PHD filter for multi-target tracking[J],in Proc.Int.Conf.Inf.Fusion,Cairns,Australia,2003:792–799.
[53]B.Vo,S.Singh,A.Doucet,Sequential Monte Carlo methods for multi-target filtering with random finite sets[J],IEEE Trans.Aerosp.Electron.Syst,2005,41(4),1224–1245.
[54]Tobias M,Lanterman A D.Probability hypothesis density-based multitarget tracking with bistatic range and Doppler observations[J].IEE Proc Radar Sonar Navig,2005,152(3):195-205.
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