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<p>This study proposes an innovative single-antenna GNSS/MEMS integrated attitude determination system designed to address the challenges of low accuracy and poor robustness in urban complex environments, where conventional multi-antenna GNSS systems and standalone MEMS sensors often fail due to signal obstructions and drift errors. The key innovations include: (1) a hybrid TDCP/TDPR (Time Difference Carrier Phase/Pseudo-Range) technique to enhance GNSS-derived pitch and heading estimation, significantly improving data utilization; (2) a multi-strategy quality control framework incorporating Zero Velocity Detection (ZVD), Magnetic Disturbance Detection (MDD), and Fault Detection and Exclusion (FDE) to suppress outlier contamination and ensure measurement reliability; and (3) an adaptive noise parameter tuning mechanism to optimize filter performance. Experimental results demonstrate that the proposed system outperforms conventional SPP/MEMS, standalone MEMS, and baseline GNSS/MEMS fusion methods, achieving CDF95 attitude errors of 1.2785° (roll), 0.9412° (pitch), and 1.1991° (yaw)—the highest accuracy and robustness reported for single-antenna GNSS/MEMS systems in urban scenarios.</p>

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A robust single-antenna GNSS/MEMS fusion structure for reliable attitude determination in challenged environments

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月8日

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  • Jiaji Wu,
  • Yuying Li,
  • Tianci Tang,
  • Wei Ding,
  • Xiaoliang Meng,
  • Jianghua Liu,
  • Jinguang Jiang

摘要

This study proposes an innovative single-antenna GNSS/MEMS integrated attitude determination system designed to address the challenges of low accuracy and poor robustness in urban complex environments, where conventional multi-antenna GNSS systems and standalone MEMS sensors often fail due to signal obstructions and drift errors. The key innovations include: (1) a hybrid TDCP/TDPR (Time Difference Carrier Phase/Pseudo-Range) technique to enhance GNSS-derived pitch and heading estimation, significantly improving data utilization; (2) a multi-strategy quality control framework incorporating Zero Velocity Detection (ZVD), Magnetic Disturbance Detection (MDD), and Fault Detection and Exclusion (FDE) to suppress outlier contamination and ensure measurement reliability; and (3) an adaptive noise parameter tuning mechanism to optimize filter performance. Experimental results demonstrate that the proposed system outperforms conventional SPP/MEMS, standalone MEMS, and baseline GNSS/MEMS fusion methods, achieving CDF95 attitude errors of 1.2785° (roll), 0.9412° (pitch), and 1.1991° (yaw)—the highest accuracy and robustness reported for single-antenna GNSS/MEMS systems in urban scenarios.