@inproceedings{9ec986dbe4534268a444dd7cc446d5b4,
title = "On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning",
abstract = "This paper focuses on location accuracy enhancement and performance comparison for global navigation satellite systems (GNSS) based positioning in light multipath propagation environments. The well-known linear iterative least-squares (LS) estimator algorithm performs the location of a ground (mobile) terminal. A sliding window and subspace decomposition (SD) based approach is proposed to generate coefficients for weighting the pseudorange measurements between the ground receiver and a set of satellites. Simulation results with real pseudorange measurement data (recorded at two different scenarios) demonstrate that the proposed SD-based LS algorithm significantly outperforms the existing LS algorithm, with root mean square error (RMSE) reduced by more than 0.7m.",
keywords = "GNSS, least-squares, satellite positioning, subspace decomposition",
author = "Montillet, {Jean Philippe} and Kegen Yu",
year = "2012",
doi = "10.1109/ISCIT.2012.6380845",
language = "English",
isbn = "9781467311571",
series = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012",
pages = "1045--1050",
booktitle = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012",
note = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012 ; Conference date: 02-10-2012 Through 05-10-2012",
}