以基于声达时间差(TDOA)的定位技术为基础,在噪声和混响同时存在的环境下,对基于麦克风阵列的声源定位方法进行了系统研究。在传统LMS自适应算法的基础上,提出了一种基于语音激励信息的LMS自适应时延估计新方法,再结合平面四元几何法定位。经过模拟房间环境的实验验证,该方法抗噪声、抗混响能力强,是一种定位精度高,运算量小的声源定位方法,可用于实时定位。
Systemic research has been done on the thesis of sound source localization based on microphone arrays in noisy and reverberant environments, which based on the time difference of arrival (TDOA) in this paper.A new LMS adaptive algorithm using the excitation information in speech is proposed based on traditional LMS adaptive algorithm, and combine a planar four-element geometry localization ,experiments in simulated environment is carried out and it is proved that the algorithm is high aocuracy and small computation of the source localization; which can be used for real-time localization.