格林函数解卷积处理的阵不变量浅海无源定位

Array invariant-based passive localization in shallow water through deconvolution spatial processing

水下声源无源定位是声呐技术重要的研究方向。针对水下声源无源定位问题,本文提出了一种基于格林函数解卷积处理的阵不变量无源定位方法。该方法使用盲解卷积算法从水平阵接收信号中提取时域格林函数,然后采用空域解卷积方法处理得到的时域格林函数,获得波束时间偏移,从波束时间偏移中计算得到阵不变量,解算目标距离,从而实现声源定位。区别于常规阵不变量方法,该方法可以得到更精确的波束时间偏移,从而提升了声源定位精度。仿真和实验数据结果表明,在小孔径水平阵情况下,基于格林函数解卷积处理的阵不变量浅海无源定位方法相较于常规时域处理方法的距离估计精度提高近 40%。

Passive localization of underwater sound sources is an important research direction of sonar technology.Aiming at the underwater sound source localization,we propose an array invariant-based passive localization in shallow water through deconvolution spatial processing method.Blind deconvolution is used to extract time-domain Green ’s functions from received radiated noise,and deconvolution method is used to extract the beam-time migration from the extracted time-domain Green functions.Then array invariants are calculated from the beam-time migration.Finally,sound source localization can be achieved.Different from the conventional array invariant method,this method can obtain a more accurate beam-time migration.The source-range estimation results from the simulation and experiment demonstrate that the proposed method is capable to improve the accuracy of source-range estimation dramatically,compared to the existing array invariant method.