Off-grid Direction of Arrival Estimation Based on Acoustic Vector Sensor Array

The off-grid phenomenon affects the accuracy of the direction of arrival (DOA) estimation when implementing the sparsity-based method for classical long vector acoustic vector sensor (LVAVS) array. To address this problem, an iterative alternating off-grid algorithm for LVAVS array is proposed. This algorithm formulates the off-grid model by introducing a bias parameter into the signal model of LVAVS array, and recoveries the joint sparsity signal and calculates the unknown bias parameter by iterative alternating way. Simulation experiments show that compared with the state-of-the-art algorithms, the proposed algorithm improves the DOA estimation accuracy in the presence of a coarse sample gird and has less computational cost.