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随着多种传感器探测技术的快速发展,数据融合方法的不断被提出和采用。文中提出了一种机载多传感器探测系统结构,并分析了其关键技术,将贝叶斯判别法应用在完成目标估计和判别的数据融合方面。探讨了该方法实现机载多传感器数据融合模型及其可靠性。
With the rapid development of a variety of sensor detection technology, data fusion methods are constantly being proposed and adopted. In this paper, an airborne multi-sensor detection system is proposed and its key technologies are analyzed. Bayesian discriminant method is applied to the data fusion of target estimation and discrimination. The airborne multisensor data fusion model and its reliability are discussed.