Normal Mode Based MUSIC Method for DOA Estimation in Shallow Water Using a Single Vector Sensor

4th International Conference on Energy Equipment Science and Engineering

Ao, Yu^1 ; Xu, Ke^1 ; Wan, Jianwei^1 ; Chen, Yong^1^2

School of Electronic Science, National University of Defense Technology, Changsha, Hunan

410073, China^1

College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi

330000, China^2

关键词: DOA estimation;    DOA estimation method;    Estimation bias;    Large estimation errors;    Noise subspace;    Root mean square errors;    Shallow waters;    Steering vector;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/242/2/022010/pdf
DOI  :  10.1088/1755-1315/242/2/022010

来源: IOP

【 摘 要 】

Sound field in the shallow water can be modeled as a superposition of multiple normal modes. Traditional underwater DOA estimation methods assume the sound wavefront to be plane, which will lead to relatively large estimation errors. To solve this problem, a normal mode based MUSIC (NM-MUSIC) method using a single vector hydrophone is presented. The orthogonality between the steering vector and the noise subspace in classic MUSIC method is replaced by that between the steering matrix and the noise subspace. Elements of the steering matrix are functions of the azimuth angles and the modal wavenumbers, and the azimuth angles can be estimated through minimal optimization searching. Computer simulation results verify that the proposed algorithm outperforms the traditional MUSIC method from the perspective of both estimation bias and root mean square error.