A Modified CA-CFAR Multi-human Detection Algorithm in Complex Environment Using Radar

With a rather strong environment clutter and multi-target interference, while indoor monitoring using FWD radar in complex scenarios, the current CA-CFAR algorithm would inevitably introduce the variance peaks leading to the false detection results in multi-target detection. This paper proposed a Modified CA-CFAR based on the Sliding Window DC Removal and Adaptive Threshold method, using Sliding Window DC Removal to eliminate the static environment clutter to avoid the previous variance peaks involved by replacing the MTI and achieving the Adaptive Threshold through echo statistic estimation to reduce the false detection results. The effectiveness of the proposed algorithm has been verified through comparative analysis based on radar-measured data.