A Closed-Form Target Localization Method for FDA-MIMO Based on root-MUSIC and ESPRIT Algorithm

Abstract

Frequency diverse array (FDA) has angle and range dependent beampattern due to the small frequency increments across array elements, which makes the combination of FDA and multiple input multiple output (MIMO) technique have capability of target localization. However, the introduction of range dimension greatly increases the computational complexity of MUSIC spectrum peak search. To overcome this problem, we propose a closed-form target localization method for FDA-MIMO. First, apply root-MUSIC algorithm on subarray outputs to obtain angle estimation. Then, use rotational invariance between subarray outputs to obtain range estimation with angle estimation obtained before. Simulation results show that compared with the spectrum search method, the proposed method can obtain closed-form solutions with computational amount greatly reduced, and compared with TS-ESPRIT method, the proposed method has higher estimation accuracy.