Situation Estimation Modeling and Simulation of Aerial Optical-electronic Sensors

摘要

Aim at the information of aerial optical-electronic sensors, the multi-phase information fusion model was built for situation estimation. The method first builds a data association of target flight path with fuzzy cluster based on aerial optical-electronic sensors' information. The data fusion of target information is done next via maximum likelihood estimation on cluster attribute. Then the uniform expression for target feature was gained. These are then fed into fuzzy Bayesian networks that perform inference via belief propagation for situation estimation. The inference result can provide decision-maker with technique foundation. A simulation example of the whole situation estimation process demonstrates the validity of the model and the reliability of the inference results.