Person tracking for WiFi based multistatic passive radar

In this paper the task of person tracking for WiFi based multistatic passive radar is discussed. To benefit from the localisation gain by fusing measurements from different transmitter-receiver pairs a robust association strategy is needed. We present a version of the multihypothesis tracker, which incorporates a detailed model of probability of detection (for example occlusion by walls is modelled) and a strategy for handling unresolved measurements. The algorithm is tested with simulated data.