DOA tracking of single acoustic vector sensor by Multi-Bernoulli filter in impulse noise

Aiming at the tracking problem of multi-source Direction of arrival (DOA) in the pulse noise environment of Acoustic vector sensor (AVS), the DOA tracking algorithm based on α stable distribution that can be better models the properties of impulse noise is proposed. Since the α stable distribution does not have finite covariance, the covariance matrix is replaced by the fractional low order moment (FLOM). The noise subspace is constructed by eigendecomposition of FLOM, and FLOM-MUSIC spatial spectrum function is generated as pseudo-likelihood function of Multi-Bernoulli filter. By exponential weighting, the problem of divergence and flatness of the traditional likelihood function is improved, and the resampling of the likelihood function in Gaussian region is more effective. The advantage of this algorithm is that it is not necessary to know the number of sound sources in advance, and the current sources can be directly tracked by using the prior information and the current measurement information. The simulation results show that the algorithm can effectively track the number and state of sources of a single AVS in the impulse noise environment.