Target tracking for UWB multistatic radar sensor networks

A multistatic radar based on ultra-wideband (UWB), also known as a UWB radar sensor network, has been shown to represent a very promising solution to localize an intruder moving within a small surveillance area. In this paper, a tracking algorithm based on low-complexity particle filtering is proposed, specifically tailored to UWB radar sensor networks with one transmitter and several receivers. An expression to calculate the particle weights is first derived, combining observations from all receivers. The particle filter is then modified to solve problems caused by blind zones inherently associated with the use of the UWB technology and multistatic configuration. In the proposed improved algorithm, suitable low-complexity particle filtering is employed to estimate velocity. The proposed approach provides high accuracy even at low signal-to-noise ratios with either static or dynamic clutters and it can track complicated maneuvering trajectories.