Entropy-Based Coherent Integration Method for Moving Target Detection Using Phased-MIMO Radar

Abstract

This paper considers the coherent integration problem for moving target detection in phased-Multi-In Multi-Out (MIMO) radar. An integration method based on entropy is proposed to realize the coherent accumulation of target signal energy of the multi-subarrays for the phased-MIMO radar. Firstly, the two dimension (fast time-slow time) signal model is established. Secondly, the differences of signal phase along the fast time dimension are eliminated via frequency shift operation after range alignment, while the Doppler frequency induced by target’s velocity is then compensated using slow time Fourier Transform (FT). Thirdly, the phase differences caused by the time delay are estimated and compensated by using an entropy-based approach. Finally, the Doppler-location searching is presented to achieve the coherent accumulation. Simulation examples are given to demonstrate the effectiveness of the proposed method.