Determining The Number Of Sources And Angle Estimation Based On Uniform Circular Acoustic Vector Sensor Array

Circular array has the ability of 360° azimuth scanning for detection and angle estimation. And it is widely used in sonar and radar system. Circular array is made up of acoustic vector sensors instead of traditional pressure sensors. Combined information processing of pressure and particle velocity has better anti-noise performance than traditional pressure processing especially in case of low signal-to-noise ratio.This article is mainly proposed to solve the problem of detection and angle estimation of under-water remote targets. Actually, the research could divide in two parts which including source number determining and angle estimation. Source number determining can provide information for targets identification and high resolution angle estimation. Traditional algorithms have trouble in case of low signal-to-noise radio, low snapshots and multi-sources detection. Based on robust and low signal-to-nose radio performance,a method was proposed to solve the problems of source number detection. Angle estimation is very important in detection and early warning. But the study of angle estimation with uniform circular acoustic sensor array is insufficient which need further investigation.A combined covariance matrix of pressure and particle velocity was constructed base on coherent theories of pressure and particle velocity..In part of source number determining, a method of source number detection with uniform circular acoustic vector sensor array is proposed. Firstly, the combined covariance matrix of the pressure and the particle velocity with uniform circular acoustic vector sensor array need to be constructed. And then, multi-threshold was used to correct the eigenvalue by reminding of double-threshold concept in image processing. Eventually, the information criteria approach can estimate the number of sources. An improvement LikeGDE algorithm was propose to detect targets in low signal-to-noise radio. Theoretical analysis and computer simulations show that the new method could effectively improve the detection ability of information criteria. The result of pool experiment also present that the new method have better behavior than others in detection and anti-noise performance, which gives further verification of the method's effectiveness.In part of angle estimation, this article analysis the algorithm performance of MVDR,MUSIC and ESPRIT. The differences between pressure processing and vector processing were discussed by angle estimation performance. Different methods were analyzed by de-correlation performance. Simulation and pool experiment results show that the Toeplitz-MUSIC algorithm has better performance in complex environment.