Target localization in a multi-static passive radar system through convex optimization
Efficient target localization methods exploiting time-of-arrival information are developed based on semi-definite relaxation (SDR). The proposed methods provide root mean-square error (RMSE) performance that is close to the CramerRao lower bound (CRLB) and outperform existing SDR-based target localization techniques. The application to bistatic passive radar systems with multiple illuminators is new. The computation complexity of the proposed methods is shown to be advantageous as compared to existing SDR-based methods.
target localization passive radar convex optimization semi-definite relaxation radar signal processing