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多级维纳滤波测向算法的参考信号优化方法
李堰,宋爱民,刘剑
0
(空军工程大学 电讯工程学院,西安 710077;解放军95482部队,成都 610081)
摘要:
多级维纳滤波(MSWF)利用接收数据矩阵的正交分解,代替了传统MUSIC算法对协方差矩阵 的特征分解,降低了运算量。为有效提高算法性能,对参考信号的取值进行了研究,发现方 向矩阵的取值对其有很大影响。在参考信号取值结构为阵元接收数据的基础上提出参考信号 取值公式,指出了文中条件下参考信号的最优取值。仿真结果表明,在相同条件下该优化方 法比其他算法有更好的性能,对于提高算法精度具有重要意义。
关键词:  阵列信号处理  波达方向估计  多级维纳滤波器  参 考信号  测向
DOI:
基金项目:国家自然科学基金资助项目(60802053) ; 航空科学基金资助项目 (20090196001)
Reference Signal Optimization Method of Multistage Wiener Filter Direction-Finding
LI Yan,SONG Ai-min,LIU Jian
(Telecommunication Engineering Institute,Air Force Engineering University, Xi′an 710077,China;Unit 95482 of PLA, Chengdu 610081, China)
Abstract:
The MSWF(Multistage Wiener Filter) uses the orthogonal decomposition from received data matrix instead of eigen-decomposition of covari ance matrix in traditional MUSIC algorithm, and decreases the computational comp lexity. In order to increase the performance efficiently, reference signal is re searched. It is shown that the direction matrix has a great influence on referen ce signal. A reference signal formula based on the structure of array received d ata is presented. The best reference signal is derived under the condition set i n this paper. Simulation results indicate that the optimized method achieves bet ter performance than others under the same condition, and it has significant imp ortance to improve the precision.
Key words:  array signal processing  DOA estimation  multistage Wiener filter(MSWF)  refe rence signal  direction finding