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

机译:DS证据理论的改进及其在红外/毫米波目标识别中的应用

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摘要

ATR system has a broad application prospect in the military field, especially in the field of modern defense technology. When paradoxes are in 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. The improvement of DS evidence theory is realized by three parts: the introduction of sensor priority and evidence credibility to realize the discount processing of evidences, the modification of DS combination rule to enhance the accuracy of synthesis results, and the compound decision-making rule. The application of the modified algorithm in IR/MMW system is designed to deal with paradoxes, 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 multisensor information fusion than any single-mode system.
机译:ATR系统在军事领域,特别是在现代国防技术领域具有广阔的应用前景。当由于不利的战场环境而在ATR系统中存在悖论时,仅传统的DS证据理论无法有效,可靠地进行整合。本文提出了一种改进的DS证据理论,并将其应用于红外/毫米波目标识别系统。 DS证据理论的改进可分为三个部分:引入传感器优先级和证据可信度以实现证据的打折处理; DS组合规则的修改以提高综合结果的准确性;以及复合决策规则。改进算法在红外/毫米波系统中的应用旨在解决自相矛盾的问题,提高目标识别率,保证目标识别系统的可靠性。实验表明,在红外/毫米波系统中引入改进的DS证据理论比通过单传感器系统能够更好地通过多传感器信息融合实现令人满意的目标识别性能。

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