Speed-up the computing of bistatic cross-ambiguity function on different hardware configuration

Cross ambiguity function (CAF) is the key function for successful location tracking for passive radar systems. This paper describes several methods of the CAF based on block processing. The computation time of the CAF is a challenging problem for parallel programming techniques. In this paper the CAF is computed with Multi-core and Cluster approaches.