关于无线网络移动通信信息定位优化研究

摘要

对于无线网络移动通信信息的定位研究,可更好的保障无线网络运行质量.传统方法利用未知信息所受到的定位精度影响的程度调整采样粒子影响权重,来完成信息定位.但没有建立定位模型,导致定位不准确.提出基于粒子群的无线网络移动通信信息定位算法.融合RSII定位原理得到待定位信息估计信号与观测值间的均方差,将无线网络移动通信信息定位问题转换为目标函数的非线性优化问题,计算出待定位信息的位置估计概率,搜索一个建议密度替换无法采集出的移动通信信息的位置真实概率密度,融合于粒子群算法构建网络移动通信信息定位适应性函数和惩罚函数,构建基于粒子群的网络移动通信信息定位模型,利用上述模型对转换的目标函数非线性优化问题进行全局最优解,从而完成了对网络移动通信信息定位.仿真结果表明,改进方法定位精确度较高,可以有效地提升网络的运行质量.%An information location algorithm of mobile communication in the wireless network is proposed based on the particle swarm.Firstly,the mean square error between the estimation signals of information to be located and the observed value is obtained integrated with the RSII positioning principle,and the location problem of mobile communication information in the wireless network is converted into the nonlinear optimization problem of objective function to work out the position estimation probability of information to be located.Then,a proposal density is searched to replace the real position probability density of mobile communication information which is unable to collect,and the adaption function and penalty function of information position of network mobile communication are built integrated with the particle swarm.Moreover,the information position model of network mobile communication is built based on the particle swarm,and the model is used to make the globally optimal solution to the nonlinear optimization problem of converted objective function.Finally,the information location of network mobile communication is completed.The simulation results show that the method has high location precision.It can improve the network operation quality effectively.