阵列米波雷达测高方法及性能分析  

Altitude Measurement Method and Performance Analysis in VHF Array Radar

作　　者：赵永波[1] 霍炯 朱玉堂[1] 刘宏伟[1] 何学辉[1] ZHAO Yongbo HUO Jiong ZHU Yutang LIU Hongwei HE Xuehui(National Laboratory of Radar Signal Processing, Xidian University, Xi＇an 710071, China)

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,西安710071

出　　处：《电子与信息学报》2016年第12期3205-3211,共7页Journal of Electronics & Information Technology

基　　金：中央高校基本科研业务费项目(K5051202047)~~

摘　　要：米波雷达在反隐身和抗反辐射导弹等方面有着独特的优势,在现代防空体系中,发挥着举足轻重的作用。但多径信号的存在,往往对米波雷达测高带来困难。该文紧密结合阵列米波雷达特点,在阵列多径信号模型基础上,总结和归纳了以传统最大似然(ML)算法为基础的3种米波雷达测高方法:基于时空级联ML算法的测高方法;基于改进的时空级联ML算法的测高方法;基于精确最大似然(RML)算法的测高方法。对这些方法进行了理论性能分析,梳理了3种方法之间的相互关系,并对理论分析结果进行了计算机仿真实验,最后给出一些有意义的结论。VHF radar has unique advantage inanti-stealth and resisting anti-radiation missile. It plays an important role in modern antiaircraft system. However, the multipath signal often brings difficulties to the altitude measurement of VHF radar. Combining with the characteristics of VHF array radar and array multipath signal model, this paper summarizes and concludes three VHF radar height measurement methods based on the traditional Maximum Likelihood （ML） algorithm： the altitude measurement method based on the temporal-spatial sequential ML algorithm; the altitude measurement method based on the improved temporal-spatial sequential ML algorithm; the altitude measurement method based on the Refined Maximum Likelihood （RML） algorithm. This paper presents the theoretical performance analysis of these methods, the relationship between three methods, and the results of computer simulation experiments. Finally some meaningful conclusions are given.

关 键 词：阵列雷达 米波雷达 最大似然估计 多径信号 测高 

分 类 号：TN958[电子电信—信号与信息处理]