DOA Estimation of Indoor Sound Sources Based on Spherical Harmonic Domain Beam-Space MUSIC

The Multiple Signal Classification (MUSIC) algorithm has become one of the most popular algorithms for estimating direction-of-arrival (DOA) multiple sources due to its simplicity and ease implementation. Spherical microphone arrays can capture more sound field information than planar arrays. collected multichannel speech signals be transformed from space domain spherical harmonic (SHD) processing through modal decomposition. MUSIC (SHD-MUSIC) reduces dimensionality covariance matrix achieves better DOA estimation performance conventional algorithm. However, SHD-MUSIC is prone failure in low signal-to-noise ratio (SNR), high reverberation time (RT), other multi-source environments. To address these challenges, we propose a novel joint beam-space (SHD-BMUSIC) this paper. advantage decoupling signal frequency angle SHD exploited improve anti-reverberation property estimation. In SHD, broadband beamforming converts pressure beam output. Beamforming enhances incoming desired direction SNR threshold as well dimension matrix. addition, 3D array rotational symmetry steering decoupled shape. Therefore, constructed paper allows arbitrary adjustment without need redesign Both simulation experiments practical tests are conducted verify that proposed SHD-BMUSIC robust adjacent source discrimination capability