Particle filtering for UWB radar applications

UWB has been well-known to be useful for localization and radar applications. The use of UWB signals can provide distance measurements with high accuracy, but a big challenge is caused by high attenuation and low signal-to-noise ratios as well as by stationary cluttering. The situation gets worse if a moving object must be tracked as is given in vital sign detection, a problem which is the background for this contribution. We propose an algorithm based on particle filtering for coping with these problems. It includes a movement model. The results show significant improvements compared to more conventional algorithms.