A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting
Cycle slip determination plays an important role in high-precision data processing and application of global navigation satellite systems (GNSS). The TurboEdit method consists of the Melbourne-Wubbena (MW) and the geometry-free phase (GF) combination. It can correctly detect and repair cycle slip in...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/9421399 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547907807477760 |
|---|---|
| author | Kezhao Li Yunyan Shen Xiaokui Yue Yingxiang Jiao Kai Wang Zhe Yue Keke Xu |
| author_facet | Kezhao Li Yunyan Shen Xiaokui Yue Yingxiang Jiao Kai Wang Zhe Yue Keke Xu |
| author_sort | Kezhao Li |
| collection | DOAJ |
| description | Cycle slip determination plays an important role in high-precision data processing and application of global navigation satellite systems (GNSS). The TurboEdit method consists of the Melbourne-Wubbena (MW) and the geometry-free phase (GF) combination. It can correctly detect and repair cycle slip in most cases. Cycle slip detection (CSD) with GF is disturbed by severe ionospheric delay variations; moreover, CSD or cycle slip repair (CSR) with the MW faces the risk of the disturbance from large pseudorange errors. Hence, cycle slip determination would be difficult under some extreme conditions, e.g., cycle slips occur in low altitude satellite, low sampling rate of dual-frequency observations. To overcome the limitations, a new dual-frequency CSD and CSR method is proposed. The main contents are as follows: (1) compared with the MW method, the Doppler-assisted phase subtraction pseudorange (DAPSP) method that we proposed has no detection blind spot and can effectively reduce the influence of pseudorange noise at high sampling rates; thus, we replace MW by the DAPSP method to improve the detection accuracy. (2) An adaptive threshold model with root mean square (RMS) is established to effectively reduce the missing and false range detection of cycle slip. (3) The sliding polynomial fitting-assisted GF (SPFAGF) is carried out according to the satellite altitude angle. The trend of ionospheric delay and residual multipath effect error between adjacent epochs is extracted and suppressed by SPFAGF. The method combined with DAPSP and SPFAGF (DAPSP-SPFAGF) overcomes the situation that the TurboEdit method cannot effectively detect under extreme conditions. The experimental results of Beidou dual-frequency observation data show that the TurboEdit method and the DAPSP-SPFAGF method can perform CSD and CSR in most cases. At the sampling rate of 1 s, the detection speed of DAPSP-SPFAGF method is significantly faster than TurboEdit method. The number of false positives about CSD is reduced from 68 to 0. At the sampling rate of 30 s and under the condition of the observed satellite altitude angle below 30°, the false alarm rate of the DAPSP-SPFAGF method is 0, but the TurboEdit method’s false alarm rate is 71.2%. So DAPSP-SPFAGF method is prior to the TurboEdit method at the high sampling rates or under extreme conditions, especially it can accurately detect and repair cycle slip and reduce the false positives and false alarm rate. |
| format | Article |
| id | doaj-art-37b52a4720584114ad872c54ec27dc1b |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-37b52a4720584114ad872c54ec27dc1b2025-02-03T06:42:57ZengWileyInternational Journal of Aerospace Engineering1687-59742023-01-01202310.1155/2023/9421399A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial FittingKezhao Li0Yunyan Shen1Xiaokui Yue2Yingxiang Jiao3Kai Wang4Zhe Yue5Keke Xu6School of Surveying and Land Information EngineeringSchool of Surveying and Land Information EngineeringNorthwestern Polytechnical UniversitySchool of Surveying and Land Information EngineeringSchool of Surveying and Land Information EngineeringSchool of Surveying and Land Information EngineeringSchool of Surveying and Land Information EngineeringCycle slip determination plays an important role in high-precision data processing and application of global navigation satellite systems (GNSS). The TurboEdit method consists of the Melbourne-Wubbena (MW) and the geometry-free phase (GF) combination. It can correctly detect and repair cycle slip in most cases. Cycle slip detection (CSD) with GF is disturbed by severe ionospheric delay variations; moreover, CSD or cycle slip repair (CSR) with the MW faces the risk of the disturbance from large pseudorange errors. Hence, cycle slip determination would be difficult under some extreme conditions, e.g., cycle slips occur in low altitude satellite, low sampling rate of dual-frequency observations. To overcome the limitations, a new dual-frequency CSD and CSR method is proposed. The main contents are as follows: (1) compared with the MW method, the Doppler-assisted phase subtraction pseudorange (DAPSP) method that we proposed has no detection blind spot and can effectively reduce the influence of pseudorange noise at high sampling rates; thus, we replace MW by the DAPSP method to improve the detection accuracy. (2) An adaptive threshold model with root mean square (RMS) is established to effectively reduce the missing and false range detection of cycle slip. (3) The sliding polynomial fitting-assisted GF (SPFAGF) is carried out according to the satellite altitude angle. The trend of ionospheric delay and residual multipath effect error between adjacent epochs is extracted and suppressed by SPFAGF. The method combined with DAPSP and SPFAGF (DAPSP-SPFAGF) overcomes the situation that the TurboEdit method cannot effectively detect under extreme conditions. The experimental results of Beidou dual-frequency observation data show that the TurboEdit method and the DAPSP-SPFAGF method can perform CSD and CSR in most cases. At the sampling rate of 1 s, the detection speed of DAPSP-SPFAGF method is significantly faster than TurboEdit method. The number of false positives about CSD is reduced from 68 to 0. At the sampling rate of 30 s and under the condition of the observed satellite altitude angle below 30°, the false alarm rate of the DAPSP-SPFAGF method is 0, but the TurboEdit method’s false alarm rate is 71.2%. So DAPSP-SPFAGF method is prior to the TurboEdit method at the high sampling rates or under extreme conditions, especially it can accurately detect and repair cycle slip and reduce the false positives and false alarm rate.http://dx.doi.org/10.1155/2023/9421399 |
| spellingShingle | Kezhao Li Yunyan Shen Xiaokui Yue Yingxiang Jiao Kai Wang Zhe Yue Keke Xu A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting International Journal of Aerospace Engineering |
| title | A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting |
| title_full | A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting |
| title_fullStr | A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting |
| title_full_unstemmed | A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting |
| title_short | A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting |
| title_sort | modified cycle slip detection method with gnss doppler assistance and optimizing by adaptive threshold and sliding polynomial fitting |
| url | http://dx.doi.org/10.1155/2023/9421399 |
| work_keys_str_mv | AT kezhaoli amodifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT yunyanshen amodifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT xiaokuiyue amodifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT yingxiangjiao amodifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT kaiwang amodifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT zheyue amodifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT kekexu amodifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT kezhaoli modifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT yunyanshen modifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT xiaokuiyue modifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT yingxiangjiao modifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT kaiwang modifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT zheyue modifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting AT kekexu modifiedcycleslipdetectionmethodwithgnssdopplerassistanceandoptimizingbyadaptivethresholdandslidingpolynomialfitting |