协同干扰节点资源优化分配模型及算法

Optimal assignment model and solution of coordinated jamming nodes

针对协同干扰节点资源优化分配问题,通过引入协同干扰组的概念,建立了协同干扰节点优化分组模型,将系统有效干扰时间优化简化为协同干扰节点分组数优化,并考虑了协同干扰组对目标通信压制的误码率约束,保证有效压制干扰下系统工作时间最长。结合智能优化算法,提出了基于遗传算法的干扰机节点分组优化求解方法,给出了具体的求解步骤,并与贪婪算法结果进行比较。最后通过实例仿真验证了方法的有效性和优越性。

To study the node allocation algorithm for coordinated jamming,this paper introduced the concept of coordinated jamming group and transformed the problem of maximizing effective jamming time into the problem of maximizing the number of coordinated jamming groups.After giving the limitation of coordinated jamming BER,it established optimal assignment model of coordinated jamming nodes.So combined with the intelligent optimization algorithm,presented a jamming force optimization apportion model based on genetic algorithm.The simulated results indicate that this method is valid and the genetic algorithm is better than greedy algorithm.