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Spatial-Time Multiple Hypothesis Model of Data Fusion Based on Active and Passive Sensors
2012
Procedia Engineering
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Real time data fusion of airborne active and passive sensors was important approach which realized targets track and recognition. The Spatial-Time Multiple Hypothesis Model (STMHM) algorithm was brought forward for solving the problem of real time data fusion. Firstly, the data-model was respectively constructed for active and passive sensors, according as observed data. Secondly, the Fusion Space was founded on the targets-observed-spaces which were created from the data-models. Thirdly, we
doi:10.1016/j.proeng.2012.01.386
fatcat:cpyry7dpejb3xe56e364jguiqi