Data Fusion of Decision-Making Level for Radar Emitter Recognition
Guan Yi-f · Electronic Information Warfare Technology · 2014
Focusing on the fact that there exists large amount of data during the process of radar emitter recognition,with the application of the theory of multi- sensor optimal combination,a method of the optimal combination of radiation source reconnaissance sensors is put forward in order to improve fusion efficiency; in addition,with the application of the D- S evidence theory for data fusion process,combining the specific characteristic of radar emitter recognition and quoting the concept of entropy in information theory,a new mathematic model for basic probability assignment function( BPAF) is proposed; the results of the simulation show the model is effective and the fusion algorithm is robust.