Research and simulation of radar side-lobe suppression based on Kalman-minimum mean-square error

doi:10.11772/j.issn.1001-9081.2015.05.1488

Journal of Computer Applications ›› 2015, Vol. 35 ›› Issue (5): 1488-1491.DOI: 10.11772/j.issn.1001-9081.2015.05.1488

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Research and simulation of radar side-lobe suppression based on Kalman-minimum mean-square error

ZHANG Zhaoxia^1,2, WANG Huihui^1,2, FU Zheng^1,2, YANG Lingzhen^1,2, WANG Juanfen^1,2, LIU Xianglian^1,2

1. Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education(Taiyuan University of Technology), Taiyuan Shanxi 030024, China;
2. College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan Shanxi 030024, China

Received:2014-11-24 Revised:2015-01-02 Online:2015-05-10 Published:2015-05-14

基于卡尔曼最小均方误差准则的雷达旁瓣抑制研究及仿真

张朝霞^1,2, 王慧慧^1,2, 傅正^1,2, 杨玲珍^1,2, 王娟芬^1,2, 刘香莲^1,2

1. 新型传感器与智能控制教育部重点实验室(太原理工大学), 太原 030024;
2. 太原理工大学物理与光电工程学院, 太原 030024

通讯作者: 张朝霞
作者简介:张朝霞(1977-),女,山西太原人,副教授,博士,主要研究方向:超宽带穿墙雷达、认知雷达系统; 王慧慧(1990-),女,江苏灌南人,硕士研究生,主要研究方向:超宽带脉冲压缩雷达; 傅正(1988-),男,浙江奉化人,硕士研究生,主要研究方向:超宽带脉冲压缩雷达;杨玲珍(1973-),女,山西临汾人,教授,博士,主要研究方向:光纤激光器; 王娟芬(1981-),女,山西吕梁人,副教授,博士,主要研究方向:非线性光学; 刘香莲(1979-),女,山东菏泽人,讲师,博士,主要研究方向:光纤激光器.
基金资助:
国家自然科学基金青年基金资助项目(61108027); 国家自然科学基金面上项目(61377089);山西省自然科学基金资助项目(2013011019-6);山西省教育厅科技创新项目(2014112);山西省科学技术发展计划(工业)项目(20140321003-02);太原市万柏林区科技项目(20140306).

Abstract

Abstract:

Concerning the problem that the weak target might be covered by the range side-lobes of the strong one and the range side-lobes could only be suppressed to a certain value, an improved Kalman-Minimum Mean-Square Error (K-MMSE) algorithm was proposed in this paper. This algorithm combined the Kalman filter with the Minimum Mean-Square Error (MMSE), and it was an effective method for suppressing range side-lobes of adaptive pulse compression. In the simulation, the proposed algorithm was compared with the traditional matched filter and other improved matched filters such as MMSE in a single target or multiple targets environments, and then found that the side-lobe levels, the Peak-SideLobe Ratio (PSLR) and Integrated SideLobe Ratio (ISLR) of the Point Spread Function (PSF) were all decreased obviously in comparison with the previous two methods. The simulation results show that the method can suppress range side-lobes well and detect the weak targets well either under both the condition of a single target and the condition of multiple targets.

Key words: radar, matched filter, Kalman filter, Minimum Mean-Square Error (MMSE)

摘要：

针对在现代雷达系统中强目标掩盖弱小目标,且只能将距离旁瓣抑制到一定值的问题,提出一种改进的卡尔曼-最小均方误差准则(K-MMSE)算法. 该方法将卡尔曼滤波与最小均方误差准则相融合,是一种有效抑制距离旁瓣的自适应脉冲压缩系统.仿真实验中,将提出的K-MMSE方法与传统匹配滤波、经过最小均方误差(MMSE)准则的匹配滤波算法进行单目标与多目标情况下的旁瓣抑制比较后发现,前者较后两者旁瓣水平及其点扩散函数(PSF)的峰值旁瓣比(PSLR)和积分旁瓣比(ISLR)均明显下降.仿真结果表明,该方法无论在单目标还是多目标情况下都能较传统的滤波算法更好地抑制旁瓣距离,有效地提取弱小目标信号.

关键词: 雷达, 匹配滤波, 卡尔曼滤波, 最小均方误差

CLC Number:

TP301.6

ZHANG Zhaoxia, WANG Huihui, FU Zheng, YANG Lingzhen, WANG Juanfen, LIU Xianglian. Research and simulation of radar side-lobe suppression based on Kalman-minimum mean-square error[J]. Journal of Computer Applications, 2015, 35(5): 1488-1491.

张朝霞, 王慧慧, 傅正, 杨玲珍, 王娟芬, 刘香莲. 基于卡尔曼最小均方误差准则的雷达旁瓣抑制研究及仿真[J]. 计算机应用, 2015, 35(5): 1488-1491.

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Research and simulation of radar side-lobe suppression based on Kalman-minimum mean-square error

基于卡尔曼最小均方误差准则的雷达旁瓣抑制研究及仿真

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