Fast subspace DOA estimation algorithm based on acoustic vector sensor array

Abstract:

Against the problem of huge computation of high-resolution DOA estimation algorithm using acoustic vector sensor array, a fast high-resolution DOA estimation algorithm was proposed based on the combination processing of pressure and particle velocity. The algorithm selected the electronic rotation vector of the reference element as the desired signal and MSWF(multi-stage Wiener filter) was used to estimate the signal subspace, which greatly reduced the amount of computation because it did not need to calculate the cross-covariance matrix of acoustic vector sensor array and Eigen value decomposition. The algorithm is based on the principle of coherency between pressure and particle velocity, which can suppress interference well in isotropic noise field. Theoretical analysis and computer simulations show that the algorithm has good performance of DOA estimation while it greatly reduces the amount of computation.