粒子群(PSO)算法在认知无线电频谱分配问题上发挥着重要的作用,但是在连续无约束条件下基本的PSO 算 法才能得以运用,并且在此条件下,早熟收敛和收敛速度不够快等问题仍然无法得到效解决。为了优化这些问题，本文将对粒 子群算法的早熟收敛问题进行分析并加以改进,成功地将统一的粒子群算法应用于解决频谱分配问题。在综合考虑系统的总 宽带收益及用户接入公平性的基础上,建立了相应的目标函数,并验证了该算法的可行性和优越性。

Particle swarm optimization algorithm plays an important role in cognitive radio spectrum allocation. It can only work in continuous and unconstrained condition. And there are the problems of premature convergence and slow convergence speed, which are not effectively resolved. In order to effectively solve these problems, this article analyzes and improves the premature convergence problem of particle swarm optimization (PSO), successfully applying particle swarm optimization (PSO) algorithm to solve the problem of spectrum allocation. Considering the system total broadband returns and the fairness of user access, the corresponding objective function is established, the feasibility and superiority of this algorithm are proved.