基于图谱分解和多信号融合的无线定位算法  

Wireless Location Algorithm Based on Spectrum Decomposition and Multi Signal Fusion

作　　者：龙小丽 韩筠 李欣雪 LONG Xiao-li;HAN Yun;LI Xin-xue(School of Electrical and Electronic Engineering,Guangdong Technology College,Guangdong Zhaoqing 526100,China;School of Mathematics and Computer Science,Guangdong Ocean University,Zhanjiang Guangdong 524000,China)

机构地区：[1]广东理工学院电气与电子工程学院,广东肇庆526100 [2]广东海洋大学数学与计算机学院,广东湛江524000

出　　处：《计算机仿真》2022年第5期470-473,479,共5页Computer Simulation

基　　金：广东理工学院“创新强校工程”科研项目(2020GKJZK 002);广东理工学院2019质量工程项目资助(ZDZY2019002)。

摘　　要：针对传统定位方法在精度与收敛性方面的不足,提出一种基于图谱分解和多信号融合的无线定位算法。通过高斯函数赋值无线信号,依靠Laplacian矩阵与图谱分解算法标记无线信号数据,计算无线信号两相流阻抗值,得到信号的密度与分布情况。同时凭借相位补偿因子修正信号间相位差,设定概率密度函数,得到无线发射台至信道环境的距离,以此获取信号传播时延的方差和均值。通过协方差矩阵修正时延误差,以每一时刻信道环境位置当作展开法的初始值进行递归运算,取平均值当作最终的定位结果。实验证明,所提方法有着定位精准度高与收敛效率快的优点。In this paper,a wireless location algorithm based on spectrum decomposition and multi signal fusion is presented for improving the accuracy and convergence of the location method.The wireless signal was assigned by Gaussian function.According to the Laplacian matrix and spectral decomposition algorithm,the wireless signal data was marked to calculate the two-phase flow impedance of the wireless signal,obtaining the density and distribution of the signal.The phase compensation factor was used to correct the phase difference between signals.The probability density function was also set.The distance from the wireless transmitter to the channel environment was obtained in order to get the variance and mean of the signal propagation delay.The covariance matrix corrected the delay error.The channel environment position at each time was recursively calculated as the initial value of the expansion method,and the average value obtained was the final positioning result.The experiments show that this method has high positioning accuracy and convergence efficiency.

关 键 词：图谱分解 多信号融合 无线定位 协方差矩阵 传播时延 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]