摘要
为解决水下目标远程高分辨定向问题,文章提出了一种新的声矢量阵ESPRIT方位估计算法.与现有的将声矢量传感器(AVS)的振速信息作为独立阵元来处理的声矢量阵方位估计算法不同,新算法完全基于声压与振速联合信息处理,充分利用了声矢量阵(AVSA)中声压与振速的相干性原理,能更好地将ESPRIT算法的高分辨能力与AVSA的抗噪能力有机地结合起来,实现远程、高分辨方位估计.理论分析和基于湖试背景噪声的仿真实验证明了新算法的有效性.
In order to solve the problem of high-resohrtion DOA (direction of arrival ) estimation of underwater remote targets, a new ESPRIT algorithm using acoustic vector sensor array (AVSA) is proposed in this paper. Different from the existing AVSA based DOA estimation algorithms, the new algorithm uses particle velocity information of acoustic vector sensor (AVS) as an independent array element. It is based on the principle of the coherency between pressure and particle velocity, as well as the pressure and particle velocity combined processing, having better DOA estimation performance than other algorithms in isotropic noise field. Both theoretical analysis and computer simulations based on real background noise from lake trials show that the proposed algorithm is effective and superior to traditional methods in resolution and accuracy when signal-to-nolse ratio (SNR) is small.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2006年第6期891-895,共5页
Journal of Harbin Engineering University