一种基于遗传算法的多传感器多目标航迹关联模型

随着信息技术的发展,智能信息技术得到了广泛应用,其中智能算法较多应用于多传感器信息融合领域。常用的加权法、修正法、最近领域法这3种基本方法只针对两个局部节点的情况进行求解,而无法对较大规模系统目标关联问题进行求解,针对防空作战系统目标关联问题,提出了一种基于遗传算法的多传感器多目标航迹关联算法,将多传感器多目标航迹关联这一问题转化为多维分配问题进行求解,给出了求解该问题的具体模型、算法和求解步骤,并通过仿真实验证明了应用该算法求解此类问题的正确性和有效性,对于多传感器多目标航迹关联应用系统的实现具有一定意义。

A sort of Model of Multi-sensor Multi-object Flight Path Connection Based on GA

With the development of information technology,intelligent information technology has been widely used.And the intelligent algorithms are largely applied to the multi-sensors information fusion field.The three commonly used basic methods,i.e.weighted method,modified method and related realm method,work only aiming at the case of two partial joints,but do not work in the case of rather large scale system target association problems.In view of the target association problem in the air defense system,this paper presents a heredity-based multi-sensors multi-tracks associated algorithm by using which the multi-sensors multi-tracks associated problem is transformed into a multi-dimensional allocation problem,and gives out the concrete model,algorithm and solution steps for solving the problem.Simulation experiments are done to testify the correctness and validity of this algorithm,and the results show that the algorithm is of guiding significance for the realization of the application system.