GPS Single Point Positioning Algorithm Based on Least Squares

Anhong Tian, Dechun Dong, Deqiong Ning, Chengbiao Fu
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引用次数: 11

Abstract

In our daily life, we need to get the accurate location information by GPS(Global Positioning System) receiver, GPS system is based on pseudo-range measurement, and there is four unknown parameter, but the navigation observation equation is nonlinear. The nonlinear equation can be solved by least squares iterative algorithm, the algorithm is based on linearization by Taylor model. The paper gives an overview of nonlinear least squares method, and presents GPS satellite pseudo-range observation equations by true GPS receiver, the simulation results show that weighted least squares iterative algorithm is simple, fast, and accurate, the localization error can meet the demands of positioning accuracy.
基于最小二乘的GPS单点定位算法
在日常生活中,我们需要通过GPS(Global Positioning System,全球定位系统)接收机获得准确的位置信息,GPS系统基于伪距离测量,且存在4个未知参数,但导航观测方程是非线性的。非线性方程可以用最小二乘迭代算法求解,该算法是基于泰勒模型的线性化。本文对非线性最小二乘法进行了概述,并通过真实GPS接收机给出了GPS卫星伪距离观测方程,仿真结果表明,加权最小二乘法迭代算法简单、快速、准确,定位误差能够满足定位精度要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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