双五元十字阵被动声定位融合算法及性能分析

为了提高被动声测量的准确度和克服声源目标空间方位模糊的问题,提出了双五元十字阵被动声定位融合算法。首先设计了一种双五元十字阵传声器阵列模型,依据模型定义了声源点象限判断准则;然后根据被动声定位原理推导了单一五元十字阵的声源点坐标计算公式,根据俯仰角度正弦值作为加权系数,构造了双五元十字阵被动声定位融合算法模型;最后对该模型测距和测向的精度进行了理论分析,给出了时延估计误差、俯仰角以及方位角与双五元十字阵定位性能的关系。理论分析和仿真实验结果表明,该算法克服了声源目标空间方位模糊的问题、减小了时延估计误差对测距测向性能的影响。本文算法能够更加准确地测量出声源点的位置信息。

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.