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Multitarget detection and tracking for through-the-wall radars

Through-the-wall radars (TWR) play an important role in various applications such as homeland security, search and rescue, and defense. One main challenge of performing automatic TWR data processing including detection and tracking is the strong reverberation and reflections from the walls. In the work presented here, we propose a practical and effective multiple target detection and tracking system for TWR. While background subtraction and envelope detection are used to reduce the false detected targets, an effective multiple target tracker is employed to further suppress the TWR false tracks. Using an experimental TWR, it is shown here that the proposed TWR data processing unit can effectively reduce false targets and false tracks and produce a good final surveillance picture for tracking human movement behind the walls.