针对不同噪声及信噪比条件下,传统进场声源定位精度低、计算复杂度高的问题,提出一种基于改进的时间到达差(TDOA)近场声源鲁棒定位方法.利用传统FIR维纳滤波器对含噪语音信号进行预处理,增强信噪比,并在频域计算TDOA值;采用空域收缩迭代最小二乘算法取代传统的LS算法进行拟合,计算近场声源位置信息.仿真结果表明,在不同噪声和信噪比条件下,该方法在降低运算量的同时,有效提升了定位精度.%In order to solve the problem of low accuracy and high computational complexity of near-field sound source under low SNR,an improved robust method of near-field sound source based on time difference of arrival (TDOA) was proposed.The traditional FIR Wiener filter is used to preprocess noisy speech signals for improving the signal-to-noise ratio of the audio signal received,and TDOA was obtained in the frequency domain.The airspace contraction iterative least squares algorithm is used to replace the traditional LS algorithm to fit and calculate the near-field source location information.The simulation results show that the proposed method can effectively improve the positioning accuracy while reducing the computational complexity under different noise and SNR conditions.
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