Abstract: Based on the concept of the concordance existing between the measurement evidences and the prior knowledge, and on the conditioning Dempster-Shafer evidence theory, this paper provides a novel radar emitter recognition approach which reflects the influences of prior knowledge. The first step for this approach is to change the measurements on the radar emitter into the form of bodies of D-S evidence by the application of gray correlation analysis. Furthermore, we apply the conditioning D-S evidence theory to combine these evidences, and calculate the concordance. This method can help us to increase the reliability of radar emitter recognition under complex battle circumstances.

Key words: random set, random conditional event, gray correlation grade, emitter recognition