Motion parameter estimation of multiple targets in multistatic passive radar through sparse signal recovery

The problem of estimating motion parameters of multiple closely located ground moving targets in a multistatic passive radar system is considered, with a focus on weak signal conditions. The proposed method provides a means of combining signal energy from all available, spatially separated, illuminators of opportunity to achieve multistatic diversity and overall signal enhancement. The proposed technique is based on sparse signal recovery and exploits a two-step process that sequentially estimates the acceleration and velocity vectors in order to reduce the dimensionality of parameter search space.