一种抑制NLOS传播非线性最小二乘法TOA校正因子估算法  

A Nonlinear Least Squares Estimation Algorithm of Correct Coeffience Under Non-Line-of-Sight Propagation

作　　者：鲁昌华[1] 张平[1] 韩江洪[1] 

机构地区：[1]合肥工业大学计算机与信息学院,合肥230009

出　　处：《电子测量与仪器学报》2006年第3期19-22,共4页Journal of Electronic Measurement and Instrumentation

基　　金：中兴通讯股份有限公司基金项目(编号:050501D2);合肥市科技局基金(编号:040505D2)

摘　　要：本文在分析基于时间定位数学模型的基础上,对已有的几个经典算法进行比较,引入了校正因子的概念,由面积最小二乘和角度约束关系,提出了在NLOS环境下的约束条件下的非线性最小二乘TOA校正因子估计算法。仿真结果表明,在NLOS环境下,其LOS校正效果良好,再对校正结果,利用经典算法进行定位。这种先预处理,再定位的方式,尽可能克服了NLOS干扰,同时充分利用了经典算法,从而达到提高精度、抑制NLOS传播误差的目的。In this paper, we analyzed the mathematic model of location based on time, as compared with sereval ready-made algorithms, and put forword a conception of correct coefficient. And a nonlinear least squares algorithm to estimate the parameter of correct coefficient is presented in this paper, to obtain the more precise distance under the non-line-of-sight environment. Simulation shows its effectiveness when non-line-of-sight propagation paths exist between the mobile station and the base station. This method which the range measured is pretreated before by the classic algorithm, is effectively restrained from NLOS interference and enhance the precision of location.

关 键 词：蜂窝定位 TOA NLOS 校正因子 最小二乘 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN915[自动化与计算机技术—控制科学与工程]