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Article

A Cycle Slip Detection Framework for Reliable Single Frequency RTK Positioning

1
School of Electronic and Information Engineering, Beihang University (BUAA), Beijing 100191, China
2
Department of Electrical Engineering, Institute of Space Technology, Islamabad 44000, Pakistan
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(1), 304; https://doi.org/10.3390/s20010304
Received: 25 November 2019 / Revised: 30 December 2019 / Accepted: 1 January 2020 / Published: 6 January 2020
(This article belongs to the Collection Positioning and Navigation (Closed))
Single frequency real-time kinematic (RTK) positioning is expected to be the leading implementation platform for a variety of emerging GNSS mass-market applications. During RTK positioning, the most common source of measurement errors is carrier-phase cycle slips (CS). The presence of CS in carrier-phase measurements is tested by a CS detection technique and correspondingly taken care of. While using CS prone measurement data, positioning reliability is an area of concern for RTK users. Reliability can be linked with the CS detection scheme through a least squares (LS) adjustment process. This paper proposes a CS detection framework for reliable RTK positioning using single-frequency GNSS receivers. The scheme uses double differenced measurements for CS detection via LS adjustment using a detection, identification, and adaptation approach. For reliable positioning, the procedure to link the detection and identification stages is described. Through tests conducted on kinematic data, internal and external reliability are theoretically determined by calculating minimal detectable bias (MDB) and marginally detectable errors, respectively. After introducing CS, the actual values of MDB are found to be four cycles, which are higher than the theoretically obtained values of one and two cycles. Although CS detection for reliable positioning is implemented for single-frequency RTK users, the proposed procedure is generic and can be used whenever CS are detected through statistical tests during LS adjustment. View Full-Text
Keywords: cycle slip detection; least squares adjustment; minimal detectable bias; RTK; reliability cycle slip detection; least squares adjustment; minimal detectable bias; RTK; reliability
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MDPI and ACS Style

Farooq, S.Z.; Yang, D.; Ada, E.N.J. A Cycle Slip Detection Framework for Reliable Single Frequency RTK Positioning. Sensors 2020, 20, 304. https://doi.org/10.3390/s20010304

AMA Style

Farooq SZ, Yang D, Ada ENJ. A Cycle Slip Detection Framework for Reliable Single Frequency RTK Positioning. Sensors. 2020; 20(1):304. https://doi.org/10.3390/s20010304

Chicago/Turabian Style

Farooq, Salma Z., Dongkai Yang, and Echoda N.J. Ada. 2020. "A Cycle Slip Detection Framework for Reliable Single Frequency RTK Positioning" Sensors 20, no. 1: 304. https://doi.org/10.3390/s20010304

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