A New Cycle Slip Detection and Repair Method for Single-Frequency GNSS Data

Abstract

Cycle slip detection for single frequency Global Navigation Satellite System (GNSS) data is currently mainly based on measurement modelling or prediction, which cannot be effectively performed for kinematic applications and it is difficult to detect or repair small cycle slips such as half-cycle slips. In this paper, a new method that is based on the total differential of ambiguity and Least-Squares Adjustment (LSA) for cycle slip detection and repair is introduced and validated. This method utilises only carrier-phase observations to build an ambiguity function. LSA is then conducted for detecting and repairing cycle slips, where the coordinate and cycle slips are obtained successively. The performance of this method is assessed through processing short and long baselines in static and kinematic modes and the impact of linearization and atmospheric errors are analysed at the same time under a controlled variable method. The results indicate this method is very effective and reliable in detecting and repairing multiple cycle slips, especially small cycle slips.

Multiple Cycle Slip Detection Algorithm for a Single Frequency Receiver

“…It can be theoretically approximated with an observation error of a 0.02 cycle size, as shown above [ 35 ]. …”

CS detection and correction techniques for RTK positioning using single‐frequency GNSS receivers: trends and comparison

“…Data snooping uses statistical tests on carrier‐phase residuals to identify outliers [50, 51]. In [52–59], CSs are detected by statistically testing LS adjustment residuals. CS detection depends on measurement residuals obtained from local analysis method in [60].…”

“…In [59], a total differential of ambiguity approach is proposed for CS detection and correction in RTK configuration. Phase ambiguity is treated as a time‐varying variable and CSs are determined from its time derivatives at higher sampling rates.…”

“…Although some of the mentioned schemes were applied to RTK positioning, only Karaim [36], Lin and Yu [53], Rapoport [57], Chen et al . [59] and Cederholm and Plausinaitis [66] used differential measurements to assist CS detection.…”

A Cycle Slip Detection Framework for Reliable Single Frequency RTK Positioning

“…For single-frequency receivers, statistical testing during LS adjustment was used for CS detection in references [22,[26][27][28][29][30][31]. All the implemented schemes were able to detect CS for an MDB of one cycle [9].…”