Multi-frame DOA Estimation Algorithm for Weak Moving Targets

The positioning ability of the DOA estimation algorithms in array signal processing depends on the correct selection of snapshot data including the target echo signal. However, in the scene with low signal-to-noise ratio (SNR), the CFAR method, which is frequently used before DOA estimation, cannot effectively discover the snapshot data containing the targets, resulting in the loss of the target. In this paper, we propose a multi-frame DOA (MF-DOA) estimation algorithm, which implements multi-frame energy accumulation and snapshot data extraction based on the introduced target motion model so that the weak moving targets can be effectively located. The simulation data and real MIMO radar data are processed, and the results show that the MF-DOA algorithm has good ability to excavate weak moving targets and extend the radar detection range.