转发式干扰环境中的机载雷达运动目标检测

doi:10.3969/j.issn.1001-2400.2014.06.009

J4 ›› 2014, Vol. 41 ›› Issue (6): 51-56+154.doi: 10.3969/j.issn.1001-2400.2014.06.009

转发式干扰环境中的机载雷达运动目标检测

吴亿锋;王彤;吴建新

(西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071)

收稿日期:2013-10-17 出版日期:2014-12-20 发布日期:2015-01-19
作者简介:吴亿锋(1988-), 男, 西安电子科技大学博士研究生, E-mail: yifengw@126.com．
基金资助:
国家自然科学基金资助项目(61372133，61471285, 61401500)

Moving target detection for airborne radar under repeater jamming environment

WU Yifeng;WANG Tong;WU Jianxin

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)

Received:2013-10-17 Online:2014-12-20 Published:2015-01-19

摘要/Abstract

摘要：

针对机载雷达运动目标检测中转发式干扰会引起虚警、抬高检测门限并降低雷达系统的检测概率的问题，提出了一种基于最大似然估计的机载雷达运动目标检测算法．首先估计转发式干扰的空域导向矢量，然后采用最大似然方法估计出运动目标的幅度，并以此来进行检测．仿真实验表明，该算法在完成杂波抑制的同时，可有效抑制旁瓣转发式干扰对运动目标检测的影响，并能在一定程度上降低主瓣转发式干扰对运动目标检测的影响．

关键词: 机载雷达, 运动目标检测, 最大似然估计, 转发式干扰

Abstract:

Repeater jamming brings a great challenge to moving target detection for airborne radar. It not only causes a false alarm but also raises the threshold of the detector, which reduces the probability of detection. A method based on maximum likelihood estimation to detect a moving target for airborne radar under repeater jamming environment is proposed. Firstly, the spatial steering vector of repeater jamming is estimated. Afterward, the maximum likelihood method is utilized to estimate the amplitude of the target, whose estimated amplitude is used to detect the moving target. Simulations show that this method is capable not only of suppressing the clutter but also of reducing the effect of repeater jamming from the sidelobe on moving target detection. Moreover, it can reduce the effect of repeater jamming from the mainlobe to a certain degree.

Key words: airborne radar, moving target detection, maximum likelihood estimation, repeater jamming

中图分类号:

TN957.54

吴亿锋;王彤;吴建新. 转发式干扰环境中的机载雷达运动目标检测[J]. J4, 2014, 41(6): 51-56+154.

WU Yifeng;WANG Tong;WU Jianxin. Moving target detection for airborne radar under repeater jamming environment[J]. J4, 2014, 41(6): 51-56+154.

参考文献

［1］ Xiong Ying, Gu Haiyan, Tang Bin, et al. An Investigation of Range-velocity Deception Jamming Modeling ［C］//International Conference on Advanced Computer Science and Electronics Information. Piscataway: IEEE, 2013: 59-63.
［2］郭俊杰, 王兴华, 王星, 等. 雷达信号频率调制的灵巧噪声干扰技术［J］. 西安电子科技大学学报, 2013, 40(4): 155-160.
Guo Junjie, Wang Xinghua, Wang Xing, et al. New Smart Noise Jamming of Radar Signal Frequency Modulation［J］. Journal of Xidian University, 2013, 40(4): 155-160.
［3］杜文韬, 廖桂生, 杨志伟. 极化空时自适应处理性能分析［J］. 西安电子科技大学学报, 2014, 41(1): 1-5.
Du Wentao, Liao Guisheng, Yang Zhiwei. Performance Analysis of the Polarization-space-time Adaptive Processing ［J］. Journal of Xidian University, 2014, 41(1): 1-5.
［4］ Shnidman D A, Shnidman N R. Sidelobe Blanking with Expanded Models ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(2): 790-805.
［5］ Vendik O G, Kozlov D S. Phased Antenna Array with a Sidelobe Cancellation for Suppression of Jamming ［J］. IEEE Antennas and Wireless Propagation Letters, 2012, 11: 648-650.
［6］姚辉伟, 张玺章, 秦玉亮, 等. 轨道根数时不变特性有源假目标识别［J］. 电子学报, 2012, 40(8): 1558-1563.
Yao Huiwei, Zhang Xizhang, Qin Yuling, et al. Identification of Ballistic Active Decoys Based on Time Invariant of Orbital Elements ［J］. Acta Electronica Sinica, 2012, 40(8): 1558-1563.
［7］ Tian X, Tang B. Spectrum Texture Features Based Radar Deception Jamming Recognition Using Joint Frequency-slow Time Processing［J］. Journal of Computational Information Systems, 2013, 9(13): 5181-5188.
［8］ Luo S C, Xiong Y, Cheng H, et al. An Algorithm of Radar Deception Jamming Suppression Based on Blind Signal Separation［C］//International Conference on Computational Problem-solving. Piscataway: IEEE, 2012: 167-170.
［9］ Glentis G O, Jakobsson A. Efficient Implementation of Iterative Adaptive Approach Spectral Estimation Techniques ［J］. IEEE Transactions on Signal Processing, 2011, 59(2): 4154-4167.
［10］ Sha Z C, Liu Z, Huang Z, et al. Direction Estimation of Correlated/coherent Signals by Sparsely Representing the Signal-subspace Eigenvectors［J］. Progress in Electromagnetics Research C, 2013, 40: 37-52.
［11］简涛, 何友, 苏峰, 等. 非高斯杂波协方差矩阵估计新方法［J］. 宇航学报, 2010, 31(2): 495-501.
Jian Tao, He You, Su Feng, et al. A Novel Covariance Matrix Estimation for Non-Gaussian Clutter ［J］. Journal of Astronautics, 2010, 31(2): 495-501.
［12］ Dipietro R. Extended Factored Space-time Processing for Airborne Radar System ［C］//Proceedings of the 26th Asilomar Conference on Signals, Systems and Computing. Piscataway: IEEE, 1992: 425-430.

[1]	刘高高, 黄东杰, 席昕, 李昊, 曹旭源. 一种特征融合的工作模式识别方法[J]. 西安电子科技大学学报, 2023, 50(6): 13-20.
[2]	吴勇,郑伟,牛文龙,杨震. 背景变化鲁棒的微弱瞬态信号检测[J]. 西安电子科技大学学报, 2019, 46(4): 159-166.
[3]	吴旭姿;刘峥;谢荣. 非正侧阵雷达距离模糊杂波抑制新方法[J]. 西安电子科技大学学报, 2017, 44(2): 1-7.
[4]	江若玫;佘颜. 快速最大似然估计用于脉冲星时间延迟测量[J]. 西安电子科技大学学报, 2016, 43(5): 147-152.
[5]	赵响;林基明. 室内可见光成像传感器定位系统的理论极限[J]. 西安电子科技大学学报, 2016, 43(4): 63-68.
[6]	文珺;杨科;赵进创;邹星星;覃团发. 直升机载雷达频域成像算法[J]. 西安电子科技大学学报, 2016, 43(4): 100-104.
[7]	解虎;冯大政;虞泓波;袁明冬;聂卫科. 一种采用稀疏表示的快速空时自适应方法[J]. J4, 2015, 42(5): 55-62.
[8]	周延;冯大政;朱国辉. 双基地机载雷达杂波预滤波方法[J]. J4, 2015, 42(5): 68-74.
[9]	向平叶;冯大政;周延;朱国辉. 机载相控阵雷达三维空时开环杂波块对消器[J]. J4, 2015, 42(3): 26-32.
[10]	张学攀;廖桂生;朱圣棋;高永婵;杨东. 距离频率ML方法无模糊估计动目标径向速度[J]. J4, 2014, 41(5): 42-47+104.
[11]	夏猛;杨小牛. 卫星基线斜置的星载三通道SAR-DPCA运动目标检测方法研究[J]. J4, 2012, 39(3): 14-19+26.
[12]	贺顺;杨志伟;徐青;张娟. 分布式卫星SAR面目标径向速度估计方法[J]. J4, 2011, 38(4): 129-132+142.
[13]	文珺;廖桂生;朱圣棋. 稳健的InSAR动目标检测与测速方法[J]. J4, 2011, 38(4): 66-70.
[14]	吕晖;冯大政;和洁;向聪. 机载多输入多输出雷达局域化降维杂波抑制方法[J]. J4, 2011, 38(2): 88-92.
[15]	和洁;冯大政;吕晖;曹杨. 一种机载雷达空时相邻多波束算法[J]. J4, 2011, 38(1): 131-135.

转发式干扰环境中的机载雷达运动目标检测

Moving target detection for airborne radar under repeater jamming environment

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0