A New Passive Sonar Bearing Estimation Algorithm Combined with Blind Source Separation
A new direction finding algorithm was proposed to improve the performance of bearing estimation of passive sonar system. In this paper, the proposed algorithm has three steps, firstly conventional beamformer (CBF) is used to detect the targets coarse bearings, secondly blind source separation (BSS) is used to make the interested beams of the targets become statistic independent, finally the proposed algorithm uses multiple signal classification (MUSIC) algorithm to locate the targets precision directions based on the arrayspace data which reconstructed by BSSs output and CBFs coarse bearing information. Simulations result show that the proposed algorithm outperforms the beam-space MUSIC method and classic MUSIC algorithm in the aspect of angular resolution and bearing estimation accuracy. The results of sea trial show that the proposed algorithm can achieve better performance in weak target detection over classic MUSIC and beam-space MUSIC algorithms.
direction of arrival MUSIC blind source separation adaptive beamforming passive sonar
Wentao Fan Xinhua Zhang Biao Jiang
Department of Information and Communication Dalian Naval academy Dalian, China Department of Sonar System Research Hangzhou Applied Acoustic Research Institute Hangzhou, 310012, C
国际会议
黄山
英文
15-18
2010-05-28（万方平台首次上网日期，不代表论文的发表时间）