子带锐化互相关算法  

Subband Sharp Correlation Algorithm

作　　者：黄迪[1] 陈伏虎[1] 

机构地区：[1]杭州应用声学研究所,杭州310012

出　　处：《影像技术》2012年第3期52-55,51,共5页Image Technology

摘　　要：本文分析了互谱相关算法在多目标或存在干扰情况下,估计效果不理想的原因,将分频段处理的思想引入到互谱相关算法中,并将各频段的处理结果进行尖锐化和加权处理,提出子带锐化互相关算法,解决了互谱相关算法在多目标或存在干扰的情况下估计效果不理想的问题。通过理论分析,仿真和海试数据的处理证明,算法在多目标,强干扰的情况下仍可很好的估计目标的方位,并且可以同时得到目标的频率信息,根据目标频带的不同还可以分辨相同方位角入射的不同声源。This paper explains the reason why the cross spectrum correlation algorithm can not dowell when there are many targets or distribution, and introduces the idea of subband to this algorithm,proposes the subband sharp correlation algorithm to solve the problem of how to estimate the DOA of the targets when there are more than one targets .Throungh theory analysis and the processing result of simulation and ocean experiment data , this paper proves this algorithm can estimation the DOA whenthere are more than one targets or source, it can get the frequency of the source and distinguish different sources by frequency.

关 键 词：互谱相关 角度分辨率 窄带滤波 

分 类 号：TB52[理学—物理]