Evolutionary strategies based target identification approach for multisensor radar radiant point
基于进化策略的多传感器雷达辐射源目标识别方法

Since the observed data at each sensor are often incomplete and even conflict, when identifying a radiant target by using the multi-sensor, an improved fusion identification approach is proposed. By this method, the cost function is first constructed on the basis of the discrepancy between the true probability distribution and the estimated probability distribution based on each sensor report. Then the cost function is optimized by evolutionary strategies to obtain the probability distribution of the proposition without using derivatives of the cost function. Simulation shows that the proposed approach is better than the traditional fusion identification methods. As a matter of fact, it effectively uses the globally searching capability of the evolutionary strategy and makes the optimization process smoothly converging to the neighborhood of the optimal solution.