Scholarlink

<p>Electron density irregularities within the ionosphere pose significant challenges to the detection of cycle slips in Global Navigation Satellite System (GNSS) carrier phase observations, compromising their reliability and affecting the performance of applications that rely on these observations, such as precise point positioning (PPP). In this paper, we propose a novel strategy to demonstrate that traditional threshold-based cycle slip detection methods often produce a large number of false positives in low-sampling-rate (30&#xa0;s) data due to ionospheric variations exceeding small cycle slips. To overcome this limitation, we further propose two improved thresholds incorporating ionospheric variation magnitudes. The effectiveness of the new thresholds is validated through a two-year kinematic PPP analysis involving 47 globally distributed GNSS stations from 2014 to 2015. Results demonstrate that the new thresholds reduce false positives of cycle slip and enhance PPP accuracy by up to 20% under ionospheric quiet conditions and 85% under ionospheric disturbed conditions, particularly in polar and high-latitude regions. Our findings highlight the importance of considering ionospheric variations between adjacent epochs of 30&#xa0;s data, which can often exceed the size of small cycle slips, particularly in high-latitude and polar regions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Mitigating the impacts of ionospheric irregularities on GPS precise positioning by refined cycle slip threshold

  • 期刊论文

  • 发表日期：

    2025年6月6日

查看全文
  • Wei Li,
  • Shuli Song,
  • Tianyang Bai,
  • Na Cheng,
  • Weili Zhou,
  • Chao Yu

摘要

Electron density irregularities within the ionosphere pose significant challenges to the detection of cycle slips in Global Navigation Satellite System (GNSS) carrier phase observations, compromising their reliability and affecting the performance of applications that rely on these observations, such as precise point positioning (PPP). In this paper, we propose a novel strategy to demonstrate that traditional threshold-based cycle slip detection methods often produce a large number of false positives in low-sampling-rate (30 s) data due to ionospheric variations exceeding small cycle slips. To overcome this limitation, we further propose two improved thresholds incorporating ionospheric variation magnitudes. The effectiveness of the new thresholds is validated through a two-year kinematic PPP analysis involving 47 globally distributed GNSS stations from 2014 to 2015. Results demonstrate that the new thresholds reduce false positives of cycle slip and enhance PPP accuracy by up to 20% under ionospheric quiet conditions and 85% under ionospheric disturbed conditions, particularly in polar and high-latitude regions. Our findings highlight the importance of considering ionospheric variations between adjacent epochs of 30 s data, which can often exceed the size of small cycle slips, particularly in high-latitude and polar regions.