摘要
A mitigation method for global navigation satellite system (GNSS) multipath errors based on redundant measurement in intertial navigation system (INS)/GNSS integrated system is introduced to solve the problem of the GNSS measurement affected by multipath effects. This method includes an innovation-based chi-square test algorithm and an adaptive Kalman filter. According to the characteristic of the zero mean of the innovation, the chi-square test is used to detect the multipath error in GNSS measurement. When the multipath errors are detected, the adaptive filter can estimate GNSS measurement noise covariance by using the redundant measurement of INS to adjust the weights of measurements, which improves the filtering performance. Finally, the simulation and real test validate that the proposed method can effectively mitigate GNSS multipath errors and improve the accuracy of the navigation solution.
| 投稿的翻译标题 | Redundant measurement based method for online mitigation of GNSS multipath errors |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 2581-2587 |
| 页数 | 7 |
| 期刊 | Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics |
| 卷 | 41 |
| 期 | 11 |
| DOI | |
| 出版状态 | 已出版 - 1 11月 2019 |
关键词
- Adaptive Kalman filtering
- Global navigation satellite system (GNSS) multipath errors
- Integrated navigation
- Measurement noise covariance estimation
学术指纹
探究 '基于冗余量测的GNSS多路径误差抑制算法' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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