Joint TOA and DOA Estimation Based on Improved Matrix Pencil Method

A single snapshot data can only provide less information so that subspace-class positioning parameters estimation algorithms depending on the covariance matrix fail. Aiming at solving this problem, a joint TOA (time of arrival) and DOA (direction of arrival) estimation based on improved matrix pencil method in wireless positioning is proposed. Firstly, according to the channel frequency domain response vector on the received array element, the data matrix containing delay and angle parameter information is obtained, then using the improved two-dimensional matrix pencil algorithm is to estimate the time delay parameter, then the direction of arrival parameter of the target signal is calculated by the relationship between the eigenvectors, so the joint estimation of two-dimensional parameters is accomplished. The algorithm avoids peak searching and parameter pairing search procedure, and it can obtain better parameter estimation performance with significantly reduced computational complexity. Simulation results verify the effectiveness of the proposed algorithm.