A Method of Sensor Management Based on Probability Statistical Model
基于概率统计模型的一类传感器管理方法

An optimizing algorithm of detection and classification used in multisensor and multitarget is put forward based on probability statistical model. Information gain is obtained by information entropy and evolution of information entropy, which denotes uncertainty of target search location. A method of sensor searching target (stationary or dynamic) is given based on maximum information gain. Performance analysis shows that, compared with other methods, this is more efficient and its error probability is less.