Mode Based MUSIC for Bearing Estimation in Shallow Water Using Acoustic Vector Sensors

被引:0
|
作者
Ai, Weiwei [1 ]
Xiong, Jinyu [1 ]
Zhang, Xiaoyong [1 ]
机构
[1] Sci & Technol Blind Signal Proc Lab, Chengdu 610041, Peoples R China
来源
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING AND INFORMATION TECHNOLOGY (ICMEIT) | 2016年 / 57卷
关键词
Acoustic vector sensor array; Normal-Mode based MUSIC; Shallow ocean; Unbiased bearing estimates;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To realize unbiased bearing estimates of multiple acoustic sources in a range-independent shallow water, Normal-Mode based MUSIC (NM-MUSIC) method using acoustic vector sensor (AVS) array is proposed in this paper. Comparing to NM-MUSIC method based on scalar array, the method based on AVS array solves the problem of port and starboard ambiguity, and also breaks through the limitation of half wavelength. Meanwhile, the method realizes unbiased bearing estimates, while most of the conventional Direction of Arrival (DOA) methods result in biased bearing estimates in shallow water. Simulation results show that the performance of the new method proposed is better than that of the original method.
引用
收藏
页码:191 / 196
页数:6
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