<p>This study investigates radio frequency interference (RFI) at a Canadian test site using three collocated commercial-off-the-shelf (COTS) GNSS detectors and receivers. The analysis focuses on the frequency, type, and severity of interference events, as well as their impact on GNSS performance. <i>Approximately 16% of detected events degraded receiver performance or caused signal loss</i>. Correlation of results from Broadsense, Spirent, and NovAtel confirmed the presence of <i>wideband jammers (63%) and short-duration personal privacy device (PPD)-type jammers (28%)</i> at the Ottawa site. Average carrier-to-noise ratio (C/N<sub>0</sub>) and automatic gain control (AGC) were identified as effective indicators for interference detection in low-cost systems, with the exponential moving average (EMA) of C/N<sub>0</sub> showing promise for automated event detection. The results further demonstrate that interference degrades single point positioning (SPP) accuracy and affects precise point positioning (PPP) convergence and accuracy. These findings highlight the need for robust interference detection methods and standardized reporting for ensuring GNSS integrity in critical applications.</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

Analysis of GNSS radio frequency interference and impacts on GNSS receiver parameters

  • Anurag Raghuvanshi,
  • Sunil Bisnath,
  • Jason Bond

摘要

This study investigates radio frequency interference (RFI) at a Canadian test site using three collocated commercial-off-the-shelf (COTS) GNSS detectors and receivers. The analysis focuses on the frequency, type, and severity of interference events, as well as their impact on GNSS performance. Approximately 16% of detected events degraded receiver performance or caused signal loss. Correlation of results from Broadsense, Spirent, and NovAtel confirmed the presence of wideband jammers (63%) and short-duration personal privacy device (PPD)-type jammers (28%) at the Ottawa site. Average carrier-to-noise ratio (C/N0) and automatic gain control (AGC) were identified as effective indicators for interference detection in low-cost systems, with the exponential moving average (EMA) of C/N0 showing promise for automated event detection. The results further demonstrate that interference degrades single point positioning (SPP) accuracy and affects precise point positioning (PPP) convergence and accuracy. These findings highlight the need for robust interference detection methods and standardized reporting for ensuring GNSS integrity in critical applications.