基于信号杂波噪声比的认知雷达扩展目标探测波形设计

doi:10.11772/j.issn.1001-9081.2015.07.2105

计算机应用 ›› 2015, Vol. 35 ›› Issue (7): 2105-2108.DOI: 10.11772/j.issn.1001-9081.2015.07.2105

基于信号杂波噪声比的认知雷达扩展目标探测波形设计

闫东^1,2, 张朝霞^1,2, 赵岩^1,2, 王娟芬^1,2, 杨玲珍^1,2, 施俊鹏³

1. 太原理工大学新型传感器与智能控制教育部重点实验室, 太原 030024;
2. 太原理工大学物理与光电工程学院, 太原 030024;
3. 山西开盛自动化设备有限公司, 太原 030024

收稿日期:2015-01-19 修回日期:2015-03-18 出版日期:2015-07-10 发布日期:2015-07-17
通讯作者: 张朝霞(1977-),女,山西临汾人,副教授,博士,主要研究方向:超宽带穿墙雷达与认知雷达系统,zhangzhaoxia1@126.com
作者简介:闫东(1988-),男,湖北黄冈人,硕士研究生,主要研究方向:认知雷达波形设计; 赵岩(1989-),男,河南邓州人,硕士研究生,主要研究方向:噪声雷达信号处理;王娟芬(1981-),女,山西交城人,副教授,博士,主要研究方向:非线性光学; 杨玲珍(1976-),女,山西临汾人,教授,博士,主要研究方向:光纤传感器; 施俊鹏(1972-),男,山西忻州人,高级工程师,主要研究方向:电路设计与应用。
基金资助:
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);山西省工业攻关项目(20140321003-02);山西省教育厅科技创新项目(2014112);太原市万柏林区科技项目(20140306)。

Cognitive radar waveform design for extended target detection based on signal-to-clutter-and-noise ratio

YAN Dong^1,2, ZHANG Zhaoxia^1,2, ZHAO Yan^1,2, WANG Juanfen^1,2, YANG Lingzhen^1,2, SHI Junpeng³

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;
3. Shanxi Kai-Sheng Automatic Instrument Company Limited, Taiyuan Shanxi 030024, China

Received:2015-01-19 Revised:2015-03-18 Online:2015-07-10 Published:2015-07-17

摘要/Abstract

摘要：

针对认知雷达在杂波环境下探测扩展目标时,回波信号的信号杂波噪声比(SCNR)较低的问题,提出了一种基于SCNR认知雷达发射波形优化设计方法。首先,不同于以往的点目标模型,通过建立扩展目标探测模型,得到认知雷达回波信号杂波噪声比(SCNR)与发射信号能量谱密度(ESD)间的关系;其次,根据最大SCNR准则推导出发射信号ESD的全局最优解;最后,为了得到有实际意义的时域信号,采用相位调制的方式,结合最小均方误差(MMSE)和迭代算法将最优ESD合成满足雷达发射要求的恒幅时域信号。仿真实验中,该方法所得时域合成信号幅度为1,在匹配滤波器输出端的SCNR为19.133 dB,仅小于理想值0.005 dB。结果表明,所得到的时域波形不仅能够满足恒幅要求,而且能使接收机输出端的SCNR接近理想值,提高了扩展目标探测性能。

关键词: 认知雷达, 波形设计, 信号杂波噪声比, 时域信号, 最小均方误差

Abstract:

Focusing on the issue that the Signal-to-Clutter-and-Noise Ratio (SCNR) of echo signal is low when cognitive radar detects extended target, a waveform design method based on SCNR was proposed. Firstly, the relation between the SCNR of cognitive radar echo signal and the Energy Spectral Density (ESD) of transmitted signal, was gotten by establishing extended target detection model other than previous point target model; secondly, according to the maximum SCNR criterion, the global optimal solution of the transmitted signal ESD was deduced; finally, in order to get a meaningful time-domain signal, ESD was synthesized to be a constant amplitude based on phase-modulation after combining with the Minimum Mean-Square Error (MMSE) and iterative algorithm, which met the emission requirements of radar. In the simulation, the amplitude of time-domain synthesized signal is uniform, and its SCNR at the output of the matched filter is 19.133 dB, only 0.005 dB less than the ideal value. The results show that not only can the time-domain waveform meet the requirement of constant amplitude, but also the SCNR obtained at receiver output can achieve the best approximation to the ideal value, and it improves the performance of the extended target detection.

Key words: cognitive radar, waveform design, Signal-to-Clutter-and-Noise Ratio (SCNR), time domain signal, Minimum Mean-Square Error (MMSE)

中图分类号:

TP301.6

闫东, 张朝霞, 赵岩, 王娟芬, 杨玲珍, 施俊鹏. 基于信号杂波噪声比的认知雷达扩展目标探测波形设计[J]. 计算机应用, 2015, 35(7): 2105-2108.

YAN Dong, ZHANG Zhaoxia, ZHAO Yan, WANG Juanfen, YANG Lingzhen, SHI Junpeng. Cognitive radar waveform design for extended target detection based on signal-to-clutter-and-noise ratio[J]. Journal of Computer Applications, 2015, 35(7): 2105-2108.

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基于信号杂波噪声比的认知雷达扩展目标探测波形设计

Cognitive radar waveform design for extended target detection based on signal-to-clutter-and-noise ratio

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