电子与控制

基于3DT的空时自适应单脉冲参数估计算法

  • 于佳 ,
  • 沈明威 ,
  • 吴迪 ,
  • 朱岱寅
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  • 1. 河海大学 计算机与信息学院, 南京 211100;
    2. 南京航空航天大学 雷达成像与微波光子技术教育部重点实验室, 南京 210016
于佳,女,硕士研究生。主要研究方向:阵列信号处理,自适应单脉冲测角技术。Tel:025-58099106 E-mail:yujiahhu@126.com;沈明威,男,博士,副教授,硕士生导师。主要研究方向:空时自适应处理。Tel:025-58099106 E-mail:smw_nuaa@hotmail.com

收稿日期: 2015-04-30

  修回日期: 2015-10-15

  网络出版日期: 2015-11-19

基金资助

国家自然科学基金(61201459,61301212);江苏省自然科学青年基金(BK2012408);中央高校基本科研业务费专项资金(2012B0614);江苏省高校优势学科建设工程资助项目

Space-time adaptive monopulse parameter estimation algorithm based on 3DT

  • YU Jia ,
  • SHEN Mingwei ,
  • WU Di ,
  • ZHU Daiyin
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  • 1. College of Computer & Information, Hohai University, Nanjing 211100, China;
    2. Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Ministry of Education, Nanjing 210016, China

Received date: 2015-04-30

  Revised date: 2015-10-15

  Online published: 2015-11-19

Supported by

National Natural Science Foundation of China (61201459, 61301212);Natural Science Foundation for Young Scholars of Jiangsu Province of China (BK2012408);Fundamental Research Fands for the Central Universities (2012B0614);A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions

摘要

空时自适应处理(STAP)是机载预警雷达抑制杂波和干扰的一项关键技术,而多普勒三通道联合自适应处理(3DT)是适合工程实现的降维(RD)STAP方法。STAP目标检测后还需进一步估计目标的角度参数,因此将自适应单脉冲(AM)技术引入3DT,提出了一种高精度联合估计目标速度与方位空间角的空时自适应单脉冲算法。理论分析与仿真实验结果表明,当目标多普勒频率偏离检测多普勒单元中心频率时,该算法能同时减少目标多普勒跨越损失和空时导引矢量失配损失,进而提高输出信杂噪比(SCNR),改善目标测角精度。

本文引用格式

于佳 , 沈明威 , 吴迪 , 朱岱寅 . 基于3DT的空时自适应单脉冲参数估计算法[J]. 航空学报, 2016 , 37(5) : 1580 -1586 . DOI: 10.7527/S1000-6893.2015.0287

Abstract

Space-time adaptive processing (STAP) is the key technology of airborne early-warning radar to suppress clutter and interference, and the joint three-Doppler channel adaptive processing (3DT) is the well-established reduced-dimension (RD) STAP approach for engineering implementation. And, we still need to accurately estimate the target angle after STAP for radar target tracking. Therefore, in this paper, the adaptive monopulse (AM)technique is introduced into 3DT, and a high-precision space-time adaptive monopulse to jointly estimate the target velocity and location is presented. Theoretical analysis and simulation results demonstrate that, when the real target Doppler frequency deviates from the central frequency of the Doppler bin, the proposed algorithm can reduce the target Doppler crossing loss to improve the output signal to clutter and noise ratio (SCNR) and meanwhile mitigate the steering vector mismatch which definitely result in estimating the velocity and angle parameters more precisely.

参考文献

[1] NICKEL U. Monopulse estimation with adaptive arrays[J]. IEE Proceedings F-Radar and Signal Proceeding, 1993, 140(5):303-308.
[2] NICKEL U. Overview of generalized monopulse estimation[J]. IEEE Aerospace and Electronics Systems Magazine, 2006, 21(6):27-56.
[3] NICKEL U. Monopulse estimation with subarray-adaptive arrays and arbitrary sum and difference beams[J]. IEE Proceedings-Radar, Sonar and Navigation, 1996, 143(4):232-238.
[4] MONAKOV A. Maximum-likelihood estimation of parameters of an extended target in tracking monopulse radars[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(3):2653-2665.
[5] CHAUMETTE E, NICKEL U, LARZABAL P. Detection and parameter estimation of extended targets using generalized monopulse estimator[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(4):3389-3417.
[6] WU R. Space-time adaptive monopulse processing for airborne radar in non-homogeneous environments[J]. International Journal of Electronics and Communications, 2011, 65(3):258-264.
[7] CHEN G, XIE W C. Space-time adaptive monopulse based on space-time uniform constraint[C]//IEEE International Conference on Signal Processing, Communication and Computing. Piscataway, NJ:IEEE Press, 2014:215-218.
[8] WU R. Parameter estimation of moving target based on linearly constrained space-time adaptive monopulse technique[C]//IEEE International Symposium on Phased Array Systems and Technology. Piscataway, NJ:IEEE Press, 2010:107-112.
[9] KLEMM R, NICKEL U. Adaptive monopulse with STAP[C]//IET International Radar Conference, 2006:1-4.
[10] WARD J. Maximum likelihood angle and velocity estimation with space-time adaptive processing radar[C]//Conference Record of the Thirtieth Asilomar Conference on Signals Systems and Computers, 1996, 2:1265-1267.
[11] ZHOU B L, DAI L Y. Constrained adaptive sum-difference monopulse algorithm with sidelobe controlled[C]//5th IET International Conference on Wireless, Mobile and Multimedia Netwotks, 2013:29-32.
[12] WU D, KONG Y Y. Statistical analysis of monopuls SAR for CFAR detection of ground moving targets[C]//IEEE International Conference Geoscience and Remote Sensing Symposium, 2014:604-607.
[13] WILLIAM L, MELVIN. A STAP overview[J]. IEEE Aerospace and Electronic Systems Magazine, 2004, 19(1):19-35.
[14] KLEMM R. Principles of space-time adaptive processing[M]. London:The institution of Electrical Engineers, 2002:117-125.
[15] DEGURSE J. Reduced-rank STAP for target detection in heterogeneous environments[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(2):1153-1162.
[16] WANG X R, ABOUTANIOS E. Reduced-rank STAP for slow-moving target detection by antenna-pulse selection[J]. IEEE Signal Processing Letters, 2015, 22(8):1156-1160.
[17] YANG X R, LIU Y X. Reduced-rank sub-CPI STAP with fast convergence measure of effectiveness in nonhomogenous clutter[C]//IET International Radar Conference, 2013:1-5.
[18] QIN W X. Reduced-rank space-time adaptive processing to radar measure data[C]//201210th World Congress on Intelligent Control and Automation, 2012:4332-4336.
[19] LI X M, FENG D Z. Dinension-reduced space-time adaptive clutter suppression algorithm on lower-rank approximation to weight matrix in airborne radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1):53-69.
[20] ZHANG W, HE Z S. A method for finding best channels in beam-space-doppler-reduced-dimension STAP[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1):254-264.
[21] DIPIETRO R. Extended factored space-time processing for airborne radar systems[C]//1992 Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems and Computing, 1992:425-430.

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