无线通信网络电磁态势生成中的信号覆盖探测算法研究

摘要

A signal coverage detection algorithm based on wireless sensing network was proposed in order to overcome the limitation of the traditional road test method in the field environment to detect wireless communication network coverage.The algorithm firstly collects the received signal strength through a randomly deployed sensing node and performs Gaussian filtering.The support vector regression (SVR) was used to perform curve fitting on the acquired data.The Kriging interpolation algorithm was used to estimate the target region.Interpolation point estimation data generates the electromagnetic state of the target area.The simulation results show that the proposed algorithm can detect the true coverage of the wireless communication network quickly and correctly.The root mean square error (RMSE)of the algorithm is 9.875 6.The accuracy is higher than that of other classical algorithms.It has certain feasibility and application prospects.%为突破野战环境下传统路测方法对无线通信网络覆盖范围探测的局限性,提出一种基于无线感知网络的信号覆盖探测算法.该算法首先通过随机部署的感知节点采集接收信号强度并进行高斯滤波处理;利用支持向量回归对采集数据进行变异函数曲线拟合;利用Kriging插值算法对目标区域进行插值估计;综合感知节点采样数据与插值点估计数据生成目标区域电磁态势.仿真结果表明,所提算法能够快速正确不间断地探测无线通信网络的真实覆盖情况,算法的均方根误差(RMSE)为 9 .87 5 6 ,精度高于其他经典算法,具有一定的可行性和应用前景.