Multistatic Micro-Doppler Signature of personnel

For the first time the multistatic Micro-Doppler Signature (mu-DS) of personnel targets has been collected using University College Londonpsilas NetRAD radar system. The data demonstrates that using a multistatic mu-DS is a viable approach to overcoming the problem of self-occlusion, where a target obstructs its own mu-DS, in automatic target recognition. The data analysis is supported by extending the theory of micro-Doppler into the multistatic domain, and a simplified model of human locomotion is developed. These advances lead to a computer simulation of the multistatic personnel mu-DS that is contrasted with the real data.