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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46973

Title: A New Integer Ambiguity Estimation Algorithm for Single Frequency Precise Point Positioning
Authors: Bo-Yu Su
Tzu-Jung Tseng
He-Sheng Wang
Contributors: 國立臺灣海洋大學:通訊科學系
Date: 2017-11
Issue Date: 2018-06-25T01:23:42Z
Publisher: 2017 International Automatic Control Conference (CACS)
Abstract: Abstract: In this paper, a new integer ambiguity resolution method for single-frequency PPP is proposed. In contrast to RTK method, a slightly perturbed integer value may incur large positioning error. To use carrier phase observations for positioning in PPP, it is necessary that the integer cycle is accurately fixed in order to have a highly precise location estimation. For these reasons, we proposed a new method to estimate the integer ambiguity. Firstly, SVD method is used to smooth the raw data, in which the code phase and carrier phase observations are both used. In this smooth process, some noise in the observations can be eliminated so that range of ambiguity search space is greatly reduced. We then estimate the floating point solution by using WLS method. Furthermore, in order to have more accurate integers, we proposed a modified LMS algorithm using a new cost function different from the existing method. From the results of the experiment, one can see that both sub-meters precision and accuracy are achievable using the proposed method.
Relation: 08 February 2018
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46973
Appears in Collections:[通訊與導航工程學系] 期刊論文

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