基于麦克风阵列的车辆笛声定位算法研究

Localization of Car Horn Using Microphone Array

针对笛声定位系统实时处理和准确定位要求，提出了一种基于麦克风阵列的笛声定位方法。该算法采用联合可控响应功率和相位变换（SRP—PHAT）方法获得波达方向角（DOA）估计，并提出了利用多层次随机角度压缩搜索的方法来降低定位方法的总运算量。通过对多种车辆在不同信噪比条件下的仿真实验表明，该算法具有较高的定位成功率。

In order to satisfy the requirement of real time process and perfect localization, a horn localization algorithm is proposed based on microphone array. Direction of arrival （DOA） estimation can be achieved in horn localization algorithm based on steering response power-phase transform （SRP-PHAT）, and a bulk of computational expense is saved by using the new search algorithm named stochastic angle contraction. The results of simulation experiment indicate that the proposed method gives higher localization precision in different SNR environment for multiple car.