一种声矢量阵最小方差无畸变方位估计算法

doi:10.3969/j.issn.1000-1093.2019.01.018

兵工学报 ›› 2019, Vol. 40 ›› Issue (1): 153-158.doi: 10.3969/j.issn.1000-1093.2019.01.018

一种声矢量阵最小方差无畸变方位估计算法

马伯乐^1,2，朱世强^1,3，孙贵青¹

（1.浙江大学海洋学院，浙江舟山 316000； 2.92721部队，浙江舟山 316000; 3.之江实验室，浙江杭州 310000）

收稿日期:2018-05-23 修回日期:2018-05-23 上线日期:2019-03-12
通讯作者: 孙贵青(1971—)，男，副教授，硕士生导师 E-mail:sgq@zju.edu.cn
作者简介:马伯乐（1984—），男，工程师，博士后。 E-mail： 2915484072@qq.com；
朱世强(1966—)，男，教授，博士生导师。 E-mail： sqzhu@zju.edu.cn
基金资助:
国家自然科学基金项目（50909096）

A Minimum Variance Distortionless Response Azimuth Estimation Algorithm of Acoustic Vector Array

MA Bole^1,2, ZHU Shiqiang^1,3, SUN Guiqing¹

(1.College of Ocean, Zhejiang University, Zhoushan 316000, Zhejiang, China; 2.Unit 92721 of PLA, Zhoushan 316000, Zhejiang, China; 3.Zhejiang Lab, Hangzhou 310000, Zhejiang, China)

Received:2018-05-23 Revised:2018-05-23 Online:2019-03-12

摘要/Abstract

摘要： 针对声矢量阵最小方差无畸变（AVAMVDR）算法，综合考虑角度分辨与单边指向特性，提出一种改进的AVAMVDR（IAVAMVDR）方位估计算法。从空间功率与子空间分解两方面分析了传统AVAMVDR算法特性；利用解析振速与声压-振速抑制各向同性噪声能力，介绍两种协方差矩阵构造方法，并在此基础上实现目标方位估计。理论分析表明, IAVAMVDR算法有效减小了信号子空间影响，使得主瓣更窄、旁瓣更低，并具有一定的抗左右舷模糊能力；仿真与实测数据均证明了该算法的有效性。

关键词: 声矢量阵, 最小方差无畸变, 左右舷模糊, 子空间

Abstract: In view of the minimum variance distortionless response (MVDR) algorithm of acoustic vector array, an improved acoustic vector array MVDR azimuth estimation method (IAVAMVDR) is proposed in consideration of the angle resolution and the single side pointing characteristic. The MVDR characteristics of traditional acoustic vector array are analyzed from two aspects of space power and subspace decomposition. The two covariance matrix construction methods are introduced by using the analytic velocity structure and the acoustic pressure-vibration velocity to suppress isotropic noise. On this basis, the target azimuth estimation is realized. The theoretical analysis shows that IAVAMVDR algorithm is used to effectively reduce the influence of signal subspace, making the main lobe narrower and the side lobe lower, and has ability of suppressing left-right ambiguity. The simulated and measured data prove the effectiveness of the proposed algorithm. Key

Key words: acousticvectorarray, minimumvariancedistortionlessresponse, left-rightambiguity, subspace

中图分类号:

TJ67

马伯乐，朱世强，孙贵青. 一种声矢量阵最小方差无畸变方位估计算法[J]. 兵工学报, 2019, 40(1): 153-158.

MA Bole, ZHU Shiqiang, SUN Guiqing. A Minimum Variance Distortionless Response Azimuth Estimation Algorithm of Acoustic Vector Array[J]. Acta Armamentarii, 2019, 40(1): 153-158.

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一种声矢量阵最小方差无畸变方位估计算法

A Minimum Variance Distortionless Response Azimuth Estimation Algorithm of Acoustic Vector Array

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