基于改进粒子群算法的无线传播模型校正  

A calibration algorithm of radio propagation model based on modified PSO

作　　者：王朝[1] 刘剑飞[1] 孙春 赵培 

机构地区：[1]河北工业大学信息工程学院,河北天津300401 [2]空军装备部国外订货检验站,北京100007 [3]中国移动通信集团设计院,北京100080

出　　处：《电路与系统学报》2010年第6期102-107,共6页Journal of Circuits and Systems

摘　　要：为提高无线网络规划中路损预测精度,本文在分析无线传播模型校正理论及基本粒子群算法的基础上,提出了合理的适应度函数和粒子编码形式设计,研究了改进的粒子群算法在无线传播模型校正领域的应用。仿真结果表明,该算法正确有效,且校正结果精度优于传统算法。Based on the theoretical analysis of the radio propagation model calibration and basic Particle Swarm Optimization （PSO）, a reasonable design of fitness function and particle coding is proposed, and a modified PSO algorithm is investigated extensively to improve the accuracy of path loss prediction in wireless network planning. Simulation result shows that the modified PSO algorithm is effective and has a higher precision than traditional algorithm.

关 键 词：传播模型校正 路径损耗 粒子群算法 最小二乘法 

分 类 号：TN929.5[电子电信—通信与信息系统]