Spatial-Temporal Mapping CFAR Detection Method for Radar Target Detection

In order to make full use of spatial-temporal information for target detection, a spatial-temporal mapping constant false alarm rate (STM-CFAR) detection method is proposed in this paper. First, based on the clutter map (CM) from radar echo frames, the clutter power of each cell under test (CUT) is estimated in temporal domain. Second, we derive the relationship of the threshold factor and the probability of false alarm (PFA) to obtain the optimal temporal detection threshold (TDT) table. In addition, we establish the spatial detection threshold (SDT) table obtained from adaptively adjusting CFAR methods to reflect the spatial statistical characteristic of clutter in spatial domain. According to the clutter condition, the values of TDT and SDT are weighted to get the final detection threshold of STM-CFAR, which can achieve better detection performance. Simulation results show that the proposed method outperforms other traditional CFAR detection methods in terms of detection probability under different clutter backgrounds.