High-Accuracy and Low-Complexity DOA Estimation Algorithm for Transmit-Only Diversity Bistatic MIMO Radar

Abstract

This paper proposes TOD-MUSIC algorithm to improve the Direction of Arrival (DOA) estimation accuracy under low Signal-to-Noise Ratio (SNR) in transmit-only diversity bistatic Multiple-Input Multiple-Output (MIMO) radar. Firstly, the TOD-MUSIC algorithm uses Toeplitz matrix reconstruction to make it possible to process the correlated sources. Then it uses the linear operation to reduce the computational complexity. Finally, the physical properties of spectral peak (which are not continuous functions and approach a larger value at the DOAs) is utilized to make the spectral peak more obvious. It is proved that the TOD-MUSIC algorithm can effectively improve the DOA estimation accuracy. We reveal that the TOD-MUSIC algorithm can not only process correlated sources, but also reduce calculation amount by solving the DOA estimation ambiguity problem under the under-sampling. The simulation results show that: the TOD-MUSIC algorithm makes the DOA estimation accuracy improved by 2° at low SNR, approaching to MUSIC algorithm at high SNR.