A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising

The traditional triple-frequency geometry-free pseudorange minus phase (GFPMP) method is very susceptible to the influence of pseudorange observation noise, and it is difficult to detect insensitive small cycle slips. The dual-frequency phase ionospheric residual (PIR) method has the ability to dete...

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Main Authors: Kezhao Li, Haofei Ban, Yingxiang Jiao, Shuaikang Lv
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2022/5110875
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author Kezhao Li
Haofei Ban
Yingxiang Jiao
Shuaikang Lv
author_facet Kezhao Li
Haofei Ban
Yingxiang Jiao
Shuaikang Lv
author_sort Kezhao Li
collection DOAJ
description The traditional triple-frequency geometry-free pseudorange minus phase (GFPMP) method is very susceptible to the influence of pseudorange observation noise, and it is difficult to detect insensitive small cycle slips. The dual-frequency phase ionospheric residual (PIR) method has the ability to detect sensitive small cycle slips, but its detection results have multivalue problems. In view of this, a GFPMP-PIR combination model method with wavelet denoising (GPW) is proposed here. The idea of this method is as follows: firstly, wavelet transform is used to denoise the pseudorange observations; then, by optimizing and selecting the combination coefficients with the minimum condition, an optimized GFPMP-PIR combination model is constructed. Hence, the source data quality is assured through wavelet denoising. And the accuracy of cycle slip detection and repair is improved by using the dual-frequency PIR combination. Moreover, the multivalue problem of the dual-frequency PIR method is solved by triple-frequency GFPMP combination; finally, the BeiDou navigation satellite system (BDS) triple-frequency measurement data is used for experimental verification. The experiment results show that the GFPMP-PIR optimization combination model with wavelet denoising can detect and repair various cycle slips, especially for insensitive small cycle slips.
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institution Kabale University
issn 1687-5974
language English
publishDate 2022-01-01
publisher Wiley
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series International Journal of Aerospace Engineering
spelling doaj-art-4584487e194c4f3a96c7f681bf5d0e1f2025-02-03T06:04:59ZengWileyInternational Journal of Aerospace Engineering1687-59742022-01-01202210.1155/2022/5110875A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet DenoisingKezhao Li0Haofei Ban1Yingxiang Jiao2Shuaikang Lv3School of Surveying and Land Information EngineeringSchool of Surveying and Land Information EngineeringSchool of Surveying and Land Information EngineeringSchool of Surveying and Land Information EngineeringThe traditional triple-frequency geometry-free pseudorange minus phase (GFPMP) method is very susceptible to the influence of pseudorange observation noise, and it is difficult to detect insensitive small cycle slips. The dual-frequency phase ionospheric residual (PIR) method has the ability to detect sensitive small cycle slips, but its detection results have multivalue problems. In view of this, a GFPMP-PIR combination model method with wavelet denoising (GPW) is proposed here. The idea of this method is as follows: firstly, wavelet transform is used to denoise the pseudorange observations; then, by optimizing and selecting the combination coefficients with the minimum condition, an optimized GFPMP-PIR combination model is constructed. Hence, the source data quality is assured through wavelet denoising. And the accuracy of cycle slip detection and repair is improved by using the dual-frequency PIR combination. Moreover, the multivalue problem of the dual-frequency PIR method is solved by triple-frequency GFPMP combination; finally, the BeiDou navigation satellite system (BDS) triple-frequency measurement data is used for experimental verification. The experiment results show that the GFPMP-PIR optimization combination model with wavelet denoising can detect and repair various cycle slips, especially for insensitive small cycle slips.http://dx.doi.org/10.1155/2022/5110875
spellingShingle Kezhao Li
Haofei Ban
Yingxiang Jiao
Shuaikang Lv
A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising
International Journal of Aerospace Engineering
title A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising
title_full A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising
title_fullStr A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising
title_full_unstemmed A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising
title_short A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising
title_sort cycle slip detection and repair method using bds triple frequency optimization combination with wavelet denoising
url http://dx.doi.org/10.1155/2022/5110875
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