基于Bayes推理的导弹作战目标识别
Ordnance Industry Automation(2010)
Abstract
为降低导弹作战目标信息识别错误率,应用Bayes推理对导弹作战目标进行识别。通过各传感器对来袭目标进行观测、分类和说明,并根据Bayes推理进行分析,推算出目标融合概率。实验结果表明:该方法能达到较高的目标识别率,可以提高系统的决策能力。
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Key words
Bayesian inference,data fusion,target recognition
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