A two-stage music microphone array direction finding method

Abstract

The invention discloses a two-stage MUSIC microphone array direction finding method. The method includes the steps that a microphone array which is composed of N array elements receives spatial far field sound source signals, and sampled data of the microphone array are acquired; the sampled data are segmented to acquire segmented microphone array data; frequency domain segmented array data are acquired; available frequency units are selected, so that an available frequency set is obtained; the reference frequency is determined when the angle of arrival is estimated; the two-stage MUSIC algorithm is used for calculating the angle of incidence of the sound source signals. According to the method, the advantages of the frequency units at different frequency bands in the angle estimating process are combined, the frequency unit which is closest to the reference frequency is selected to be subjected to two-stage MUSIC spectrum estimation at most, the frequency units at the high frequency stage are used for guaranteeing the angle estimating precision, the frequency units at the low frequency stage are used for solving the angle estimating blur, the angle estimating result at the low frequency stage is used for solving the angle blur at the high frequency stage, and therefore a high-precision angle estimating result can be acquired.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for measuring azimuth and elevation angles of multiple voice signals based on a microphone array. Background technique [0002] Microphone array direction finding is one of the main research contents of speech signal processing. Azimuth estimation of speech signals is widely used in video conferencing, sound source location and tracking, and speech signal enhancement. When there is only one voice source signal, the azimuth estimation is relatively simple, but when there are multiple voice sources at the same time, how to realize the angle estimation and tracking of the voice source is a more difficult problem. Because when multiple speech signals exist at the same time, each speech signal appears at different times and occupies different frequency bands, which are practical issues that must be considered in the direction finding of speech signals. ...

AI Technical Summary

Problems solved by technology

The coherent subspace method not only needs to calculate the focusing transformation matrix, but also needs to select the reference frequency, so the implementation is relatively complicated, and its processing performance directly depends on the calculation of the focusing matrix

The aforementioned two methods still have deficiencies in solving the problem of real-time direction finding of multiple broadband voice signals

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