弹载图像探测器广域协同探测算法

The wide-area cooperative detection algorithm of missile-borne image detectors is studied for the effect of cooperative detection allocation scheme on the target information gain. The issues of the dispersion correction of missile-borne image detector and the target allocation are studied for the purpose of obtaining the most effective damage information. The complete dynamic model and target equivalent model of image detector are proposed to simulate the collaborative detection environment of multiple detectors. The ability of the image detector system to obtain damage information through effective information entropy is described, the correlation equations between damage information entropy and the system and target are derived, and the evaluation criteria is established for cooperative detection capabilities. Based on the Kuhn-Munkres algorithm and the Runge-Kutta algorithm, an optimal solution method is proposed for solving the optimal correction timing of image detector and the optimal observation target allocation, and the algorithm flow is given to solve the optimal allocation problem of collaborative detection of missile-borne image detector. The results show that this algorithm has higher information gain compared with the random allocation of image detectors, and the target information entropy gain is increased by 24% when the image detector crosses a detected target.