The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition

ATR system has a broad application prospect in military, especially in the field of modern defense technology. When paradoxes are existence in ATR system due to adverse battlefield environment, integration cannot be effectively and reliably carried out only by traditional DS evidence theory. In this paper, A modified DS evidence theory is presented and applied in IR/MMW target recognition system to improve recognition rate. The improvement of DS evidence theory is realized by three steps. In order to ensure the consistency and reliability of different sources of evidence, it firstly introduces two impact factors as sensor priority and evidence credibility to realize the discount processing of evidences. Then, DS combination rule is modified to further enhance the accuracy of synthesis results through the global distribution of overall conflicts instead of the normalization step. Finally, it uses the compound decision making rule to get target recognition results. The application of the modified DS evidence theory in IR/MMW system is designed to deal with paradoxes caused by environmental uncertainty and imperfect knowledge, improve the target recognition rate, and ensure the reliability of target recognition system. Experiments are given to illustrate that the introduction of the modified DS evidence theory in IR/MMW system is better able to realize satisfactory target recognition performance through multi-sensor information fusion than any single-mode system.