带约束PSO算法的最优多带协作式频谱感知  

Optimal Multiband Collaborative Spectrum Sensing Algorithm Based on Constrained PSO Algorithm

作　　者：田冲 刘婷婷 谭哲雯 谭宇豪 雷可君[1] 杨喜[1] TIAN Chong;LIU Tingting;TAN Zhewen;TAN Yuhao;LEI Kejun;YANG Xi(College of Communication and Electronic Engineering,Jishou University,Jishou 416000,Hunan China)

机构地区：[1]吉首大学通信与电子工程学院,湖南吉首416000

出　　处：《吉首大学学报（自然科学版）》2023年第3期34-38,共5页Journal of Jishou University(Natural Sciences Edition)

基　　金：国家自然科学基金资助项目(61861019,62161012);湖南省教育厅科学研究项目(21A0335);湖南省教育厅教学改革研究项目(HNJG-2020-0562,2021JGSZ089);国家级大学生创新创业训练项目(S202010531009,202110531029);吉首大学校级科研课题(JDY20014)。

摘　　要：针对无约束粒子群优化(PSO)算法在进行多带协作频谱感知时存在难以控制系统总干扰的问题,设计了一种带约束PSO算法的最优多带协作式频谱感知方法.该方法通过引入惩罚函数,将带约束条件下的优化问题转化为无约束优化问题.仿真实验结果表明,相对于无约束PSO算法,带约束PSO算法能够解决带约束的多带协作式频谱感知问题,所得最优解满足约束条件,避免造成总干扰过大.For the difficulties in controlling the total interference of the system with unconstrained PSO algorithm,an optimal multiband cooperative spectrum sensing method based on constrained Particle Swarm Optimization(PSO)algorithm is proposed.This algorithm transforms the constrained optimization problem into an unconstrained optimization problem by introducing a penalty function.Compared with the traditional solutions based on unconstrained PSO algorithm,the proposed constrained PSO algorithm can effectively solve the constrained multiband cooperative spectrum sensing optimization problem,and the optimal solution meets the constraints to avoid excessive total interference.

关 键 词：认知无线电 协作式频谱感知 约束 粒子群优化 

分 类 号：TN914[电子电信—通信与信息系统]