A Robust Real Time Direction-of-Arrival Estimation Method for Sequential Movement Events of Vehicles

Sensors

Qianwei Zhou¹  Jingchang Huang²  Baoqing Li³  Huawei Liu³  Xiaobing Yuan³ 

[1] College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China;IBM-Research China, Shanghai 201203, China;Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China;

关键词: robust;    DOA estimation;    MEMS;    ISM;    microphone array;    wideband;    sub-band magnitude-squared coherence;    wind noise;    narrowband MUSIC;   

DOI  :  10.3390/s18040992

来源: DOAJ

【 摘 要 】

Parameters estimation of sequential movement events of vehicles is facing the challenges of noise interferences and the demands of portable implementation. In this paper, we propose a robust direction-of-arrival (DOA) estimation method for the sequential movement events of vehicles based on a small Micro-Electro-Mechanical System (MEMS) microphone array system. Inspired by the incoherent signal-subspace method (ISM), the method that is proposed in this work employs multiple sub-bands, which are selected from the wideband signals with high magnitude-squared coherence to track moving vehicles in the presence of wind noise. The field test results demonstrate that the proposed method has a better performance in emulating the DOA of a moving vehicle even in the case of severe wind interference than the narrowband multiple signal classification (MUSIC) method, the sub-band DOA estimation method, and the classical two-sided correlation transformation (TCT) method.

【 授权许可】

Unknown