A Modified Frequency Weighted MUSIC Algorithm for Multiple Sound Sources Localization

The traditional weighted MUSIC algorithm is usually implemented based on a sparsity assumption named W-Disjoint Orthogonality (WDO) when the number of sound sources is unknown, which may not be suitable in many scenarios. In this paper, a modified weighted MUSIC algorithm is proposed to improve the localization performance in multiple sound sources. Instead of using the maximum eigenvalue as the weight of each frequency band, we use the signal-to-noise ratio (SNR) as the weight coefficient of each frequency band, which can reduce the disturbance cases by the multiple sources bands. The simulation experiments are conducted to evaluate the performance of our proposed method and compare with the traditional weighted MUSIC algorithm. The results show that the proposed algorithms have a better localization accuracy in multiple-source environment.