Evaluation of GSM passive radar data and its use in multistatic tracking

Incorporation of prior information is necessary in passive radar tracking to achieve good tracking precision. This prior information consists e.g. of the size of the measurement errors, the model of the probability of detection and the false alarm intensity. In this paper methods to extract the information from real passive radar data by exploiting information from cooperative targets are discussed. The algorithm is tested on a real GSM passive radar data set with challenging clutter environment and slow moving targets. The impact of using the extracted information in target tracking is discussed.