# Real-Time Cycle Slip Detection in Single-Frequency GNSS Receivers Using Dual-Index Cross-Validation and Elevation-Dependent Thresholding

**Authors:** Mireia Carvajal Librado, Kwan-Dong Park

PMC · DOI: 10.3390/s25196162 · 2025-10-04

## TL;DR

This paper introduces a new method to detect cycle slips in single-frequency GNSS receivers in real-time, using elevation-based thresholds and cross-validation.

## Contribution

The novel algorithm uses dual-index cross-validation and elevation-dependent thresholds for real-time cycle slip detection without additional sensors.

## Key findings

- The algorithm achieves over 98% detection accuracy for slips exceeding 10 cycles.
- It shows 87.93% agreement with Loss of Lock Indicators during signal instability.
- The method has no false positives in artificial slip testing.

## Abstract

Cycle slips, abrupt discontinuities in carrier-phase measurements, pose a significant challenge for single-frequency GNSS receivers, particularly in real-time applications where rapid detection is critical. Unlike dual-frequency approaches, these receivers cannot rely on redundant combinations to isolate slips from other errors. This study proposes a real-time cycle slip detection algorithm for single-frequency GNSS receivers based solely on short-term differencing of pseudorange and carrier-phase observables. The method employs a two-step logic: first-order differencing of code-minus-carrier and second-order differencing of carrier phase. Both steps employ satellite elevation-dependent adaptive thresholds, enabling robust detection under diverse signal conditions. The method requires no user position, receiver-generated tracking flags, or additional sensor data. Experimental results reveal that the algorithm achieves over 98% detection accuracy for slips exceeding 10 cycles, with no false positives in artificial slip testing, and 87.93% agreement with Loss of Lock Indicators (LLI) during periods in which the receiver indicated signal instability.

## Full-text entities

- **Diseases:** injury to (MESH:D014947), LLI (MESH:D000080422), TDCP (MESH:D000210)
- **Chemicals:** DOY (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12526682/full.md

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Source: https://tomesphere.com/paper/PMC12526682