Title :
A GPS Position Algorithm without Using Inverse Matrix
Author :
An Kai ; Li Xiangyang
Author_Institution :
Shandong Aerosp. Electro-Technol. Inst., Yantai, China
Abstract :
By using the nonlinear least-squares approach, an equation about the user position is educed, and in succession, the equation is transformed into an iteration equation to resolve the user position. An iteration algorithm is proposed to solve user position. Based on a simple estimation of the user position, an initial user position is given. Simulation results show the effectiveness of the proposed iteration algorithm. Simultaneity, it has been proven by simulation that the convergence speed of iteration equation can be improved obviously after the initial user position is chosen.
Keywords :
Global Positioning System; iterative methods; least squares approximations; GPS position algorithm; inverse matrix; iteration algorithm; nonlinear least squares approach; user position; Accuracy; Equations; Estimation; Geodesy; Global Positioning System; Mathematical model; Satellites; iteration; nonlinear least-squares; random variable; the user position;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.186