Wide-band DoA Estimation Algorithm Based on Image-part of Covariance Matrix
DU Zi-bin · Audio Engineering · 2015
In the symmetrical distribution noise field,in order to improve wide- band DoA estimation performance,a novel incoherent signal subspace method(ISM) which is based on the image- part of covariance matrix is presented.Because the image- part of covariance matrix does not contain the symmetric noise,but only contain the asymmetry signal,the new algorithm realizes ISM by using the its image- part.Compared to the conventional ISM,this algorithm can effectively reduce symmetrical noise and improve DoA estimation performance.Numerical simulations verify the validity and good capability of the proposed algorithm.