Analysis of 2D CA-CFAR for DDMA FMCW MIMO Radar

This paper presents a numerical method to estimate the relationship between the probability of false alarm and the scaling factor for two-dimensional (2D) cell-averaging constant false alarm rate (CA-CFAR) in Doppler-division multiple-access (DDMA) frequency-modulated continuous-wave (FMCW) multiple-input multiple-output (MIMO) radar. Our method is adaptable to other CFAR schemes, which is essential for adaptive thresholding in CFAR-based radar systems. We demonstrate the effectiveness of our approach in improving the binary mask algorithm's performance in DDMA FMCW MIMO radar through adaptive thresholding from 2D CA-CFAR. We evaluate the performance of the binary mask algorithm using fixed and adaptive thresholds with simulation and measurement data from an FMCW radar with three transmitting and four receiving antennas. The results show that the proposed adaptive threshold outperforms the fixed threshold in terms of detection probability and reduces the occurrence of ghost targets.