Dimension Reduction Localization Algorithm of Mixed Sources Based on MEMS Vector Hydrophone Array

Micromachines

Xiaoyong Zhang¹  Libo Yang¹  Hairong Kou¹  Zhenzhen Shang¹  Guojun Zhang²  Wendong Zhang² 

[1] Department of Intelligence and Automation, Taiyuan University, Taiyuan 030032, China;State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China;

关键词: mixed sources;    MUSIC algorithm;    MEMS vector hydrophone;    dimension reduction;    port and starboard ambiguity;   

DOI  :  10.3390/mi13040626

来源: DOAJ

【 摘 要 】

In this paper, a mixed sources dimension reduction Multiple Signal Classification (MUSIC) localization algorithm suitable for Micro-Electro-Mechanical System (MEMS) vector hydrophone linear arrays is proposed, which reduces the two-dimensional search to one-dimensional local search. Firstly, the Lagrangian function is constructed by quadratic optimization idea to obtain the estimates of azimuth angles. Secondly, the least square method is utilized for optimal match to obtain the direction-of-arrivals (DOAs) and ranges, and the range parameters are judged in Fresnel zone to obtain the azimuth information of all near-field sources. Finally, find the common DOAs and achieve high-resolution separation of far-field and near-field sources. Simulation and field experiments prove that the proposed algorithm only needs a small number of elements can solve the problem of port and starboard ambiguity, does not need to construct high-order cumulants or multi-dimensional search while the parameters are automatically matched with low computational complexity. This study provides an idea of the engineering application of vector hydrophone.

【 授权许可】

Unknown