水声近场源目标的高分辨DOA估计方法改进研究

Improvement of High Resolution DOA Estimation Method for Underwater Acoustic Near-field Source

对水声近场源目标的波达方向(DOA)估计是实现目标检测和识别的关键技术,针对当前的MUSIC估计算法精度不高的问题,提出一种基于高阶累积量联合参量估计的水声近场源目标的高分辨DOA估计算法,首先构建水声近场源目标的阵列信号模型,对采集的水声近场目标信号进行信源峰度特征提取,估计近场源参量的两种高阶累积量,求得水声近场源目标信号的子空间,最终估计出各信号源参量,实现近场源的高分辨DOA估计。仿真实验结果表明,采用该算法进行水声近场源目标的DOA估计的精度较高,对目标方位角和波达方向以及距离等参量实现了联合一致估计,参量估计的无偏性较好。

The direction of arrival（DOA）estimation of the acoustic near-field source target is the key technology to realize the target detection and recognition algorithm,aiming at the problem of low precision of the MUSIC estimation,this paper proposes an algorithm for high resolution DOA estimation algorithm of underwater near-field source target based on high order cumulant joint parameter estimation.First,the array signal model of underwater near-field source target is constructed,the acquisition of the underwater acoustic near field target signals kurtosis feature is extracted,two kinds of high order cumulant of near-field source parameters are estimated,the acoustic near-field source target signal subspace is gotten,each signal source parameter is estimated finally to achieve near-field source high resolution DOA estimation.Simulation results show that the precision by using the algorithm of underwater acoustic near-field source target DOA estimation is higher,the target azimuth,DOA and distance parameters are combined for consistent estimation,unbiased parameter estimation is better.