Multipath radar tracking with large uncertainty in the environment

We formulate the target tracking problem for radar in a multipath environment where significant uncertainty on the locations of the multipath causing obstacles (walls) is present. Most of the recent efforts towards investigating target tracking in multipath environments assume knowledge of these wall locations. Relaxing this assumption makes the tracking problem very challenging. We propose a statistical filter (tracker) and a data association method based on importance sampling to address these challenges.