Method and device for estimating direction of arrival (DOA) of broadband sound source

Abstract

The invention relates to a method and device for estimating the direction of arrival (DOA) of a broadband sound source. The method comprises the following steps: selecting one section of sound data X(n)=[x1(n),...,xP(n)]T from sound data collected from a microphone array, wherein n is a subset of Z*; evenly dividing the selected sound data X(n) into L frames; carrying out N-point quick Fourier transform on each frame of sound data Xl (n); presenting the frequency domain of the obtained sound data as follows: Xl(k)=[xl1(k),...,xlP(k)]T, wherein k=1,..., N / 2; then, calculating the modulus square value eta (k) of a coherence function between two microphones in the microphone array; randomly selecting the modulus square values of q coherence functions from the eta (k); and estimating the DOA only by using a frequency band corresponding to the modulus squares of the q coherence functions. According to the method and device, the computation amount of an algorithm is greatly lowered on the premise of ensuring that the precision is hardly lowered.

Description

technical field [0001] The invention relates to the technical field of target direction finding, in particular to a method and device for estimating the direction of arrival of a broadband sound source. Background technique [0002] Target direction finding has important applications in sonar, radar, navigation and wireless sensor networks and other fields. The sensor array is the main way to find the direction of the target. [0003] In the target direction finding technology, an important technical problem is how to locate the broadband sound source. There are already many algorithms for this. The wideband MUSIC algorithm is to first transform the wideband signal into the frequency domain through Fourier transform, then process each frequency band with the narrowband MUSIC method, and finally combine the results of each frequency band to obtain the direction estimation of the sound source. That is, the Incoherent Sub-space Method (ISM, Incoherent Sub-space Method). Thi...

AI Technical Summary

Problems solved by technology

First of all, it is necessary to use a low-complexity algorithm to estimate the direction of the sound source, construct a focusing matrix through the estimated angle, focus signals of different frequency bands on a center frequency through the focusing matrix, and then treat it as a narrow-band signal , the disadvantage of this method is that the estimated angle of the sound source needs to be known, and the choice of the estimated angle has a great influence on the performance of the algorithm

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