移动通信网络位置群体节点的挖掘方法

对移动通信网络的位置群体节点进行了优化定位和挖掘,优化移动通信网络的覆盖度和可靠度,传统的位置群体节点挖掘算法采用信息度增益控制挖掘算法,算法不能自主感知节点信息数据的变化,无法实现数据信息的实时传递和决策。提出基于位置群体节点信息融合和滤波控制的移动通信网络位置群体节点的挖掘方法。构建移动通信网络节点的分布模型和信道模型,采用多径信道均衡设计实现位置群体节点信息融合,采用自适应滤波控制方法实现对通信节点挖掘的干扰抑制。仿真结果表明,采用该方法进行通信节点挖掘,信标定位准确,信号的覆盖度较合理,实现了信道空间的合理高效利用,实现了信道均衡和干扰抑制,有效降低了通信的误比特率。

Research on Mining Method of Mobile Communication Network Location Group Node

On the mobile communication network locations on the nodes of the optimum location and mining and optimization of mobile communication network coverage and reliability,traditional group position nodes mining algorithm using information gain control algorithm for mining,algorithm cannot be self aware node information data changes,unable to realize data real-time transmission and decision-making.A new method for the location of group nodes based on the information fusion of position group nodes and the control of mobile communication networks is proposed.Construction of mobile communication network node distribution model and channel model is constructed,the multipath channel equalization design and implementation of group position node information fusion by adaptive filtering control method to achieve the communication node mining interference suppression.Simulation results show that the use the method of the communication node mining,beacon positioning accuracy,signal coverage is reasonable,to achieve a reasonable and efficient use of space channel,the channel equalization and interference rejection,effectively reducing the bit error rate of the communication.