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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50037

Title: Sequential Quadratic Method for GPS NLOS Positioning in Urban Canyon Envi-ronments
Authors: He-Sheng Wang
Chen-Ying Kao
Jing-Fen Chen
Contributors: 國立臺灣海洋大學:通訊與導航工程系
Keywords: Non-Line-of-Sight
Sequential Quadratic Programming
Global Positioning System
Wilcoxon Regression
Urban Canyon Environment
Date: 2013-03
Issue Date: 2018-09-11T07:37:37Z
Publisher: International Journal of Automation and Smart Technology
Abstract: Abstract: In this paper, the problem of GPS non-line-of-sight (NLOS) positioning in urban canyon environment is considered. We propose a new position-determination estimator based on the sequential quadratic programming (SQP) that is able to estimate and eliminate the path-delay error caused by the indirect transmission of the GPS signal. The estimator takes into account the measurement bias resulting from NLOS transmission, and in the mean-time also improves the location accuracy of a satellite positioning system. The present method can effectively eliminate the NLOS delay errors and is also able to improve the location accuracy of a satellite navigation receiver in an urban canyon environment. A Wilcoxon-norm-based regressor is further derived to improve the probability of detection of the NLOS biases. The Wilcoxon regressor is a robust estimator that is well suitable for identifying outliers (in our case, the NLOS biases) during the regression process. In our experimental results, it is demonstrated that the proposed estimator can compute the coordinate of a user location in an accurate fashion after identifying and removing the measurement biases.
Relation: 3(1)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50037
Appears in Collections:[通訊與導航工程學系] 期刊論文

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