可靠声路径互相关函数稀疏重构及其在定位中的应用

Sparse Reconstruction of Cross-Correlation Function in the Reliable Acoustic Path and Its Application on Passive Localization

由于深海可靠声路径的存在,位于深海条件下的水听器受环境噪声的影响较小。它接收到的近海面声源信号具有较高的信噪比,有利于远距离目标探测。相较于传统方法,互相关函数匹配方法常用于深海条件下的目标被动定位,但要求目标信号具有足够的带宽。目标信号带宽不足会导致互相关函数存在较大的旁瓣,从而增大定位模糊度。针对这一问题,研究可靠声路径环境下接收信号互相关函数与匹配定位模糊面特征条纹的关系,提出以深海互相关函数结构特点为先验信息,对实测互相关函数进行K-稀疏重构的处理方法。重构的互相关函数具有更好的分辨率和旁瓣抑制能力。深海环境下爆炸声源被动定位的实验结果表明,使用重构的互相关函数进行匹配定位可以得到更准确的声源距离和声源深度估计。

For existences the reliable acoustic path,the signal received in a larger depth in the deep ocean usually has higher signalto-noise ratio,which assists in the long range passive localization.The passive localization method based on cross-correlation function matching is more suitable in the deep ocean scenario,comparing with some traditional localization methods used in the shallow ocean environment.However,relatively greater bandwidth is required when the cross-correlation matching method is applied.If not,larger sidelobe occurs,which enlarges the localization ambiguity.This paper investigated the relationship between the received cross-correlation function and the feature stripes in the localization ambiguity surface in the reliable acoustic path scenario.The structure of the cross-correlation function is used as the prior information in a K-sparse reconstruction process to retrieve the crosscorrelation function with high resolution.The reconstructed cross-correlation function has better performance in resolution and sidelobe suppression ability,and thus can improve the accuracy of the subsequent passive localization.Localization results of explosive sound sources in the deep ocean environment show that the reconstructed cross-correlation function can yield more accurate depth and range estimations.