Passive acoustic localization fusion algorithm and performance analysis of double five element cross array

In order to improve the accuracy of passive acoustic measurement and overcome the spatial orientation ambiguity of target sound source. This paper presents a passive acoustic localization fusion algorithm of double five element cross array. Firstly, the microphone array model of double five element cross array is designed; according to the model, the quadrant decision criterion for acoustic source point is defined. Then, according to the passive acoustic localization principle, the acoustic source point coordinate calculation formula for single five element cross array is deduced. Taking the sine value of the pitch angle as the weighting coefficient, the passive acoustic localization fusion algorithm model for double five element cross array is constructed. Finally, the direction finding and range measurement accuracy of the model is analyzed in theory; and the relationship between time delay estimation error, pitch angle and azimuth angle and the double five element cross array localization performance is given. Theoretical analysis and simulation experiment results indicate that the proposed algorithm can overcome the spatial orientation ambiguity problem of target sound source and decrease the influence of time delay estimation error on the direction finding and range measurement performance. This method can measure the position information of the acoustic source point more accurately.