IMPROVED METHOD FOR DETECTING AND REPAIRING CYCLESLIPS OF DUAL-FREQUENCY DATA WITH SINGLE P-CODE
Xu Rui; Huang Dingfa; Zhou Letao; and Li Chenggang
Center of Geomatic Engineering, Southwest Jiaotong University, Chengdu 610031
Abstract As is known, it is not an easy thing to capture the precise Pcode for most of the receivers and only the cross correlated Pcode could be derived. With such cross correlated PCode, the detecting and repairing capability of the traditional combinations, the (1,-1) and (-7,9), will be out of one cycle level. To resolve the problem, an improved method which takes the multipath effect of the pseudo range into account is proposed to upgrade the cycle slip repairing capability of the aforementioned combinations. The experiment shows that the new method can remove the epochwise multipath effect of the pseudo range and repaire successfully cycle slip within one cycle level.
Key words :
GPS
cycle slip
detecting and repairing
multipath effect
wide lane
Received: 01 January 1900
Corresponding Authors:
Xu Rui
Cite this article:
Xu Rui,Huang Dingfa,Zhou Letao et al. IMPROVED METHOD FOR DETECTING AND REPAIRING CYCLESLIPS OF DUAL-FREQUENCY DATA WITH SINGLE P-CODE[J]. , 2007, 27(4): 67-71.
Xu Rui,Huang Dingfa,Zhou Letao et al. IMPROVED METHOD FOR DETECTING AND REPAIRING CYCLESLIPS OF DUAL-FREQUENCY DATA WITH SINGLE P-CODE[J]. jgg, 2007, 27(4): 67-71.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2007/V27/I4/67
[1]
XUE Zhangfang,LIU Lilong,WU Haojian,ZHANG Zhi,LIU Ruiguo. GNSS-MR Snow Depth Inversion Based on CEEMDAN [J]. jgg, 2022, 42(1): 25-28.
[2]
ONG Qi,GAO Ertao,YU Hangming,LAN Yanping. Research on the Sensitivity of Deep Slip Inversion for Earthquake Fault Slip Constrained by InSAR and GPS Geodetic Deformation Data [J]. jgg, 2022, 42(1): 59-64.
[3]
WANG Xiaolei,NIU Zijin,HE Xiufeng. Precipitation Analysis and Judgment Based on GPS Water Vapor Retrieval and GPS-IR [J]. jgg, 2021, 41(9): 929-933.
[4]
ZHANG Jian,ZHAO Bin,WANG Dongzhen,WANG Haibin,LIU Zhijun. Probing the Rheological Structure of Southern Tibet from the Postseismic Deformation of the 2015 MW 7.8 Nepal Earthquake [J]. jgg, 2021, 41(8): 827-832.
[5]
TIAN Xiao,ZHAN Wei,ZHENG Hongyan,YIN Haiquan. Characteristics of Present-Day 3D Crustal Movement of Sichuan-Yunnan Region [J]. jgg, 2021, 41(7): 739-746.
[6]
ZHAO Wenhao,LIU Genyou,WANG Shengliang,GAO Ming. GPS-L1/BDS-B1 Non-Overlapping Frequency Tight Combination Relative Positioning [J]. jgg, 2021, 41(6): 618-622.
[7]
LIU Zhongguan,YUAN Linguo,CHEN Changfu,CHENG Shuai,ZHANG Di. Modeling Accuracy Analysis of Ocean Tide Load Displacement in New Zealand [J]. jgg, 2021, 41(4): 387-391.
[8]
DAI Hongbao,TANG Hongtao. Analysis of Tectonic Stress Field Characteristics of Longxian-Baoji Fault Zone Based on GPS Data [J]. jgg, 2021, 41(4): 413-418.
[9]
HUANG Dewu, WANG Jianying. Dual-Frequency GPS Cycle Slip Detection Based on Grubbs Criteria and Interval Search [J]. jgg, 2021, 41(3): 268-273.
[10]
WANG Dongzhen, ZHAO Bin, YU Jiansheng, TAN Kai. Can Vertical Crustal Deformation Be Monitored by Campaign GPS?——Taking Chinese Mainland as Example [J]. jgg, 2021, 41(3): 290-295.
[11]
LU Tieding, XIE Jianxiong. EEMD-Multiscale Permutation Entropy Noise Reduction Method for GPS Elevation Time Series [J]. jgg, 2021, 41(2): 111-115.
[12]
GAO Chen,CAO Jun,LIU Shufeng,MA Dong,LIU Siyu. The Current Surface Deformation Characteristics of Northern Margin Fault of Yangyuan Basin Based on GPS and SBAS-InSAR [J]. jgg, 2021, 41(12): 1288-1293.
[13]
LIU Jie,XU Keke,FANG Jian,ZHANG Weimin,DU Zongliang. Analysis of Crustal Deformation in the Southern Margin of the Qinghai-Tibet Plateau Based on Modern Geodetic Techniques [J]. jgg, 2021, 41(11): 1183-1188.
[14]
ZHANG Qi,ZENG Ran,XIN Shaoming,GONG Shucheng,REN Hanxin,FANG Rongxin. Rapid Re-Convergence Methods of Real-Time PPP When Satellite Cycle-Slips Occur Frequently under Seismic Monitoring Environment [J]. jgg, 2021, 41(10): 1008-1013.
[15]
YUAN Haijun,ZHANG Zhetao,HE Xiufeng,ZHOU Ye,MIAO Weikai. Real-Time Cycle Slip Detection and Repair Method for BDS-3 Four-Frequency Data [J]. jgg, 2021, 41(10): 1045-1050.