改进粒子群算法的集群协同干扰资源分配  

Cluster collaborative interference resource allocation based on improved particle swarm optimization algorithm

作　　者：于旺 石艳 赵海妮 陈思阳 Yu Wang;Shi Yan;Zhao Haini;Chen Siyang(Guilin Changhai Development Co.Ltd,Guilin 541000,China;Xidian University,Xi'an 710000,China)

机构地区：[1]桂林长海发展有限责任公司,桂林541000 [2]西安电子科技大学,西安710000

出　　处：《战术导弹技术》2023年第2期122-129,共8页Tactical Missile Technology

基　　金：国家自然科学基金青年科学基金(61901332)。

摘　　要：根据敌方雷达不同的工作状态进行威胁等级的评估,以干扰对象和干扰样式为基础建立模型,由模型采用不同的智能算法进行集群协同干扰资源的分配。针对传统粒子群算法搜索范围小并且易陷入局部最优解等问题,提出一种改进的粒子群算法用于集群协同干扰资源的分配。通过将NSGA-II算法中基于实数编码的多项式变异算子引入种群的更新迭代中,提高种群中个体的多样性,扩大了种群的搜索范围;通过动态学习因子,调整算法在不同阶段对个体极值和全局最优值的侧重,从而降低了算法陷入局部最优解的概率。仿真结果表明,改进的粒子群算法提高了算法的收敛速度和寻优概率,并且具有优异的性能,在一定程度上解决了集群协同干扰资源分配问题。The threat level of enemy radar can be evaluated according to its different working states,and a model established based on the interference object and pattern is used for allocating the cluster cooperative interference resources through different intelligent algorithms.Aiming at the problems that the traditional particle swarm optimization algorithm has a small search range and is easy to fall into the local optimal solution,an improved particle swarm optimization algorithm is proposed for the allocation of cluster cooperative interference resources.By introducing the polynomial mutation operator based on real number coding in the NSGA-II algorithm into the update iteration of the population,the diversity of individuals in the population is improved and the search range of the population is expanded.Through the dynamic learning factor,the algorithm is adjusted to the individual extreme value or the global optimal value at different stages,thereby reducing the probability of the algorithm falling into the local optimal solution.The simulation results show that the improved particle swarm optimization with good performance can improve the convergence speed and optimization probability of the algorithm,and solve the problem of swarm cooperative interference resource allocation to a certain extent.

关 键 词：电子对抗 改进粒子群算法 干扰效果评估 干扰资源分配 变异因子 动态学习因子 全局寻优 

分 类 号：TN97[电子电信—信号与信息处理]