DOA estimation based on mode and maximum eigenvector algorithm with reverberation environment

Abstract

To solve the problem of coherent sound source direction of arrival (DOA) estimation of microphone uniform circular array in indoor reverberation environment, an improved MUSIC algorithm for microphone uniform circular array (UCA) is proposed. The pre-processing uses the mode space to change into several virtual uniform linear arrays. The maximum feature vector matrix is constructed by decomposing the covariance matrix of the snapshot data. The information of all sound sources is used, and the covariance matrix is also restored to the diagonal matrix, which greatly reduces the error caused by the pre-processing. The spatial spectral function is obtained, and the spectral function is searched to obtain N directions and pitch angles corresponding to N signals. The MATLAB tool is used to simulate the indoor reverberation environment microphone uniform ring array model and the improved MUSIC algorithm. The simulation results show that the algorithm has better estimation accuracy for indoor sound sources under ideal conditions, and has higher resolution and lower signal-to-noise ratio.