基于修正自适应匹配滤波器的机动目标检测方法

李海; 刘新龙; 周盟; 刘维建

doi:10.12000/JR15105

基于修正自适应匹配滤波器的机动目标检测方法

doi: 10.12000/JR15105

1.
(中国民航大学天津市智能信号与图像处理重点实验室天津 300300)
2.
(空军预警学院黄陂士官学校武汉 430019)

基金项目:

国家自然科学基金(61471365, 61231017, 61571442), 中央高校基本科研业务费项目(3122015B002), 中国民航大学蓝天青年学者培养经费

详细信息

作者简介:
李海(1976-),男,天津人,现为中国民航大学副教授,研究方向为空时自适应信号处理、机载气象雷达信号处理等。E-mail:haili@cauc.edu.cn刘新龙(1984-),男,甘肃张掖人,现为中国民航大学硕士研究生,研究方向为空时自适应信号处理、动目标检测。E-mail:xinl_liu@qq.com周盟(1988-),男,四川广汉人,现为中国民航大学硕士研究生,研究方向为空时自适应信号处理、动目标检测、机载气象雷达信号处理。E-mail:bard_belief@hotmail.com刘维建(1982-),男,山东莱芜人,现为空军预警学院黄陂士官学校助教,主要研究方向为雷达信号处理、多通道信号检测、阵列信号处理和统计信号处理。E-mail:liuvjian@163.com

通讯作者:
李海haili@cauc.edu.cn

Detection of Maneuvering Target Based on Modified AMF

1.
(Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China)
2.
(Huangpi NCO School of Air Force Early Warning Academy, Wuhan 430019, China)

Funds:

The National Natural Science Foundation of China (61471365, 61231017, 61571442), National Universitys Basic Research Foundation of China (3122015B002), Foundation for Sky Young Scholars of Civil Aviation University of China

摘要: 机动目标回波的多普勒走动和训练样本不足导致常规自适应匹配滤波器(Adaptive Matched Filter, AMF)检测机动目标时运算量大且性能不佳。针对此问题, 该文提出一种基于修正AMF的机动目标检测方法。该方法首先通过对角加载减少样本空间自由度, 从而降低对训练样本数的需求；然后以3次相位变换(Cubic Phase Transform, CPT)分离估计加速度, 并以估计值补偿多普勒走动, 降低联合匹配搜索维度, 进而减少运算量；最后进行积累检测。仿真结果表明, 该方法运算量低, 可实现小样本下机动目标的有效检测, 具有恒虚警(Constant False Alarm Rate, CFAR)特性。
- 机动目标检测 /
- 自适应匹配滤波器 /
- 3次相位变换 /
- 对角加载 /
- 多普勒走动
Abstract: Owing to the Doppler frequency migration of the return signal of maneuvering targets and finite training samples, it is difficult to detect maneuvering targets by conventional Adaptive Matched Filter (AMF) detectors. To solve this problem, a new method is proposed. First, to minimize sample size impairments, the diagonal loading technique was adopted to decrease the degrees of freedom of the sample space. Second, the Doppler frequency migration was compensated by the estimated acceleration which was estimated by the cubic phase transform, so as to reduce the dimension of matched searching and degrade the heavy calculation load. Finally, accumulation detection was conducted. The simulation results suggest that the proposed method can efficiently detect maneuvering target in finite sample situations with simple computation and constant false alarm rate detection.
- Maneuvering target detection /
- Adaptive matched filter /
- Cubic phase transform /
- Diagonal loading /
- Doppler frequency migration

[1]	Klemm R. Principles of Space-time Adaptive Processing[M]. London: The Institution of Electrical Engineers, 2002: 87-100.
[2]	Melvin W L. A STAP overview[J]. IEEE Aerospace and Electronic Systems Magazine, 2004, 19(1): 19-35.
[3]	Ward J. Space-time adaptive processing for airborne radar[R]. Technical Report 1015, MIT Lincoln Laboratory, 1994: 1-79.
[4]	王永良, 刘维建, 谢文冲, 等. 机载雷达空时自适应检测方法研究进展[J]. 雷达学报, 2014, 3(2): 201-207.-Wang Y L, Liu W J, Xie W C, et al.. Research progress of space-time adaptive detection for airborne radar[J]. Journal of Radars, 2014, 3(2): 201-207.
[5]	Kelly E J. An adaptive detection algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 1986, 22(1): 115-127.
[6]	Chen W S and Reed I S. A new CFAR detection test for radar[J]. Digital Signal Processing, 1991, 1(4): 198-214.
[7]	Robey F C, Fuhrmann D R, Kelly E J, et al.. A CFAR adaptive matched filter detector[J]. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(1): 208-216.
[8]	Kraut S and Scharf L L. The CFAR adaptive subspace detector is a scale-invariant GLRT[J]. IEEE Transactions on Signal Processing, 1999, 47(9): 2538-2541.
[9]	Li X L, Cui G L, Yi W, et al.. Coherent integration for maneuvering target detection based on Radon-Lv's distribution[J]. IEEE Signal Processing Letters, 2015, 22(9): 1467-1471.
[10]	Ru J F, Jilkov V P, Li X R, et al.. Detection of target maneuver onset[J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(2): 536-554.
[11]	Zhu S Q, Liao G S, Yang D, et al.. A new method for radar high-speed maneuvering weak target detection and imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(7): 1175-1179.
[12]	Chen X L, Huang Y, Liu N B, et al.. Radon-fractional ambiguity function-based detection method of low-observable maneuvering target[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2): 815-833.
[13]	Winters D W. Target motion and high range resolution profile generation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(3): 2140-2153.
[14]	Reed I S, Mallett J D, and Brennan L E. Rapid convergence rate in adaptive arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1974, 10(6): 853-863.
[15]	Gvensen G M, Candan C, Orguner U, et al.. On generalized eigenvector space for target detection in reduced dimensions[C]. Proceedings of the IEEE International Radar Conference, Arlington VA, USA, 2015: 1316-1321.
[16]	Melvin W L. Space-time adaptive radar performance in heterogeneous clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(2): 621-633.
[17]	同亚龙, 王彤, 文才, 等. 一种稳健的机载非正侧视阵雷达杂波抑制方法[J]. 电子与信息学报, 2015, 37(5): 1044-1050.-Tong Y L, Wang T, Wen C, et al.. A robust clutter suppression method for airborne non-sidelooking radar[J]. Journal of Electronics Information Technology, 2015, 37(5): 1044-1050.
[18]	Carlson B D. Covariance matrix estimation errors and diagonal loading in adaptive arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1988, 24(4): 397-401.
[19]	Guerci J R and Bergin J S. Principal components, covariance matrix tapers, and the subspace leakage problem[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(1): 152-162.
[20]	Wu Y, Tang J, and Peng Y N. On the essence of knowledge-aided clutter covariance estimate and its convergence[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(1): 569-585.
[21]	O'shea P. A fast algorithm for estimating the parameters of a quadratic FM signal[J]. IEEE Transactions on Signal Processing, 2004, 52(2): 385-393.
[22]	Reed I S, Gau Y L, and Truong T K. CFAR detection and estimation for STAP radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1998, 34(3): 722-735.
[23]	Mestre X. Improved estimation of eigenvalues and eigenvectors of covariance matrices using their sample estimations[J]. IEEE Transactions on Information Theory, 2008, 54(11): 5113-5129.
[24]	Wang Y L, Liu W J, Xie W C, et al.. Reduced-rank space-time adaptive detection for airborne radar[J]. Science China Information Sciences, 2014, 57: 082310.
[25]	Guerci J R. Space-time Adaptive Processing for Radar[M]. London: Artech House, 2003: 51-72.
[26]	Benaych Georges F and Nadakuditi R R. The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices[J]. Advances in Mathematics, 2011, 227(1): 494-521.
[27]	Hiemstra J D. Robust implementations of the multistage wiener filter[D]. [Ph.D. dissertation], Virginia Polytechnic Institute and State University, 2003.
[28]	Skolnik M I. Radar Handbook[M]. New York: McGraw-Hill, 1990.
[29]	Gerlach K and Picciolo M L. Airborne/spacebased radar STAP using a structured covariance matrix[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(1): 269-281.
[30]	刘维建, 谢文冲, 王永良. 基于对角加载的自适应匹配滤波器和自适应相干估计器[J]. 系统工程与电子技术, 2013, 35(3): 463-468.Liu W J, Xie W C, and Wang Y L. AMF and ACE detectors based on diagonal loading[J]. Systems Engineering and Electronics, 2013, 35(3): 463-468.
[31]	Gau Y L. CFAR detection algorithm for STAP airborne radar[D]. [Ph.D. dissertation], University of Southern California, 1996.

[1]	陈世超, 罗丰, 胡冲, 聂学雅. 基于多普勒谱非广延熵的海面目标检测方法 . 雷达学报, 2019, 8(3): 344-354. doi: 10.12000/JR19012
[2]	许述文, 石星宇, 水鹏朗. 复合高斯杂波下抑制失配信号的自适应检测器 . 雷达学报, 2019, 8(3): 326-334. doi: 10.12000/JR19030
[3]	吴孙勇, 薛秋条, 朱圣棋, 闫青竹, 孙希延. 杂波环境下基于粒子滤波的微弱扩展目标检测前跟踪算法 . 雷达学报, 2017, 6(3): 252-258. doi: 10.12000/JR16128
[4]	丁昊, 王国庆, 刘宁波, 关键. 逆Gamma纹理背景下两类子空间目标的自适应检测方法 . 雷达学报, 2017, 6(3): 275-284. doi: 10.12000/JR16088
[5]	赵军, 田斌, 朱岱寅. 基于PAST处理的机载双基雷达自适应角度-多普勒补偿算法 . 雷达学报, 2017, 6(6): 594-601. doi: 10.12000/JR17053
[6]	陈帅霖, 罗丰, 张林让, 胡冲, 陈世超. 基于动态规划的机动目标加权自适应相参积累方法 . 雷达学报, 2017, 6(3): 309-315. doi: 10.12000/JR17002
[7]	林春风, 黄春琳, 粟毅. 双基地雷达Radon-Fourier变换弱目标积累检测 . 雷达学报, 2016, 5(5): 526-530. doi: 10.12000/JR16049
[8]	陈希信. 天波雷达后多普勒自适应波束形成 . 雷达学报, 2016, 5(4): 373-377. doi: 10.12000/JR15124
[9]	丁昊, 薛永华, 黄勇, 关键. 均匀和部分均匀杂波中子空间目标的斜对称自适应检测方法 . 雷达学报, 2015, 4(4): 418-430. doi: 10.12000/JR14133
[10]	邹鲲, 吴德伟, 张斌, 李伟. 一种针对失配信号的可调自适应检测器 . 雷达学报, 2015, 4(4): 411-417. doi: 10.12000/JR14129
[11]	王璐, 张帆, 李伟, 谢晓明, 胡伟. 基于Gabor滤波器和局部纹理特征提取的SAR目标识别算法 . 雷达学报, 2015, 4(6): 658-665. doi: 10.12000/JR15076
[12]	刘维建, 王利才, 狄源水, 简涛, 谢谠, 王永良. 自适应能量检测器及在失配信号检测中的应用(英文) . 雷达学报, 2015, 4(2): 149-159. doi: 10.12000/JR14132
[13]	李海, 张志强, 周盟. 基于WVD的机载相控阵雷达机动目标检测及参数估计方法 . 雷达学报, 2015, 4(4): 393-400. doi: 10.12000/JR15094
[14]	林雪, 李曾玺, 李芳芳, 胡东辉, 丁赤飚. 一种自适应迭代的非局部干涉相位滤波方法 . 雷达学报, 2014, 3(2): 166-175. doi: 10.3724/SP.J.1300.2014.13123
[15]	关欣, 仲利华, 胡东辉, 丁赤飚. 一种基于RSPWVD-Hough 变换的无源雷达多普勒展宽补偿方法 . 雷达学报, 2013, 2(4): 430-438. doi: 10.3724/SP.J.1300.2013.13073
[16]	赵耀东, 吕晓德, 李纪传, 向茂生. 无源雷达多普勒谱分析实现动目标检测的方法 . 雷达学报, 2013, 2(2): 247-256. doi: 10.3724/SP.J.1300.2012.20081
[17]	陈小龙, 关键, 何友. 微多普勒理论在海面目标检测中的应用及展望 . 雷达学报, 2013, 2(1): 123-134. doi: 10.3724/SP.J.1300.2012.20102
[18]	钱广华, 李颖, 骆荣剑. 机动目标跟踪中一种机动频率和方差自适应滤波算法 . 雷达学报, 2013, 2(2): 257-264. doi: 10.3724/SP.J.1300.2013.13003
[19]	张问一, 胡东辉, 丁赤飚. 基于FABEMD 和Goldstein 滤波器的SAR 舰船尾迹图像增强方法 . 雷达学报, 2012, 1(4): 426-435. doi: 10.3724/SP.J.1300.2012.20059
[20]	熊波, 甘露. MM-CBMeMBer 滤波器跟踪多机动目标 . 雷达学报, 2012, 1(3): 238-245. doi: 10.3724/SP.J.1300.2012.20043

点击查看大图

计量

文章访问数: 1658
HTML全文浏览量: 380
PDF下载量: 1354
被引次数: 0

基于修正自适应匹配滤波器的机动目标检测方法

doi: 10.12000/JR15105

通讯作者:
李海haili@cauc.edu.cn

Detection of Maneuvering Target Based on Modified AMF

计量

基于修正自适应匹配滤波器的机动目标检测方法

doi: 10.12000/JR15105

1. (中国民航大学天津市智能信号与图像处理重点实验室天津 300300)

2. (空军预警学院黄陂士官学校武汉 430019)

通讯作者: 李海haili@cauc.edu.cn

English Abstract

Detection of Maneuvering Target Based on Modified AMF

1. (Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China)

2. (Huangpi NCO School of Air Force Early Warning Academy, Wuhan 430019, China)

全文HTML

目录

期刊介绍

联系我们

基于修正自适应匹配滤波器的机动目标检测方法

doi: 10.12000/JR15105

通讯作者: 李海haili@cauc.edu.cn

Detection of Maneuvering Target Based on Modified AMF

计量

出版历程

基于修正自适应匹配滤波器的机动目标检测方法

doi: 10.12000/JR15105

1. (中国民航大学天津市智能信号与图像处理重点实验室 天津 300300) 2. (空军预警学院黄陂士官学校 武汉 430019)

通讯作者: 李海haili@cauc.edu.cn

English Abstract

Detection of Maneuvering Target Based on Modified AMF

1. (Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China) 2. (Huangpi NCO School of Air Force Early Warning Academy, Wuhan 430019, China)

全文HTML

目录

期刊介绍

联系我们

通讯作者:
李海haili@cauc.edu.cn

1. (中国民航大学天津市智能信号与图像处理重点实验室天津 300300)

2. (空军预警学院黄陂士官学校武汉 430019)

1. (Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China)

2. (Huangpi NCO School of Air Force Early Warning Academy, Wuhan 430019, China)