基于相关峰插值的五元十字阵被动声定位算法

Passive Acoustic Location Algorithm Based on Five-element Cross Array Via Interpolation of Correlation Peak

针对基于传统时延估计方法的被动声定位算法精度提高受时延估计精度限制的问题,提出基于相关峰插值方法的被动声定位算法。该算法能改善FFT变换带来的栅栏效应,根据声音信号的传播特性对信号低频频谱进行细化从而提高时延估计精度。通过计算机仿真和外场实验对比分析了基于互相关方法和基于FICP方法的被动声定位算法在五元十字阵系统中的定位精度。结果表明,基于FICP方法的被动声定位算法能够较好地对声源目标进行定位,且算法定位精度优于基于互相关方法的定位算法,具有较强的实际应用性。

Due to the limitation of sampling frequency,it＇s difficult to improve the precision of passive acoustic localization algorithm based on traditional time delay estimation method.To solve this problem,a modified algo-rithm to estimate the location of sound source was presented based on FICP method.According to the acoustic transmission characteristics,the proposed algorithm could improve the fence effect caused by FFT and got high-er precision of time delay estimation by subdividing signal low-frequency spectrum.The target location positio-ning accuracy of the two algorithms were testified by theory simulation and simulated experiments based on five-element cross array system.It was showed that the algorithm could orientate target effectively,and the location accuracy was better than the passive location algorithm based on cross-correlation method.