DOA估计的几种特征结构算法的性能比较  

Performance Comparison of Several Eignstructure Algorithms for Estimation of DOA

作　　者：郑大炜[1] 钟子发[1] 史英春[1] 

机构地区：[1]解放军电子工程学院,合肥230037

出　　处：《舰船电子对抗》2006年第1期30-34,共5页Shipboard Electronic Countermeasure

摘　　要：Pisarenko算法、多信号分类(MUSIC)算法、最小模算法和ORPD算法是来波到达方向(DOA)估计中常用的四种特征结构算法。在不同的信噪比及阵元数目条件下,对这几种算法的分辨性能作了比较。仿真结果表明:MUSIC算法是最稳定的一种算法;在预知大致方位的前提下,ORPD算法分辨性能最好;对于提高各种算法的分辨能力,改善信噪比相对增加阵元数目更有效。Pisarenko algorithm,MUSIC algorithm,mini-norm algorithm and ORPD algorithm are the four eigenstructure algorithms often used for estimation of DOA. In this paper, we compare the resolution performance of the four algorithms under the condition of different SNR and array element number. Simulation result indicates. MUSIC algorithm is the most steady algorithm;if we prior know the rough direction of the signals,the resolution performance of ORPD algorithm is the best ; improving SNR condition is more effective than increasing the number of array element to enhance the resolution performance of the four algorithms.

关 键 词：分辨性能 特征结构算法 Pisarenko算法 MUSIC算法 最小模算法 ORPD算法 

分 类 号：TN971.1[电子电信—信号与信息处理]