Design and validation of two-level fusion structure for GNSS receivers. (15th August 2022)
- Record Type:
- Journal Article
- Title:
- Design and validation of two-level fusion structure for GNSS receivers. (15th August 2022)
- Main Title:
- Design and validation of two-level fusion structure for GNSS receivers
- Authors:
- Shang, Yuqiu
Wang, Qian
Han, Mengyue
Yang, Yuwei
Zeng, Qingsheng - Abstract:
- Highlights: A new structure with two-level fusion prevents the loss of information. Proportional and integral coefficients evaluate the performance of loop. Short integration time avoids bit flipping. Abstract: Traditional Global Navigation Satellite System (GNSS) vector tracking receivers apply position feedback to achieve information fusion of multi-channel and then increase the processing gain, but there is certain information loss before the positioning is completed and the structure is not applicable to the reacquisition phase when positioning is not valid. To overcome these shortcomings, we introduce the optimal information fusion process into the discrimination stage in advance and define a three-stage robustness factor to adjust the input influence of the satellite signal. In addition, using the discrimination gain as a core of the research, the performance difference between different discrimination methods is analyzed theoretically based on the loop control theory. In the experiment, the effectiveness of the least squares discriminator in the receiver is demonstrated through the analyses of the measurement noise variance, the pull-in reacquisition under the condition of ineffective positioning, and the measurement accuracy of positioning and velocity in a complex environment. The experimental results show that the dual-fusion strategy in the discrimination and positioning phase can significantly improve the processing performance of the receiver, whereas the robustHighlights: A new structure with two-level fusion prevents the loss of information. Proportional and integral coefficients evaluate the performance of loop. Short integration time avoids bit flipping. Abstract: Traditional Global Navigation Satellite System (GNSS) vector tracking receivers apply position feedback to achieve information fusion of multi-channel and then increase the processing gain, but there is certain information loss before the positioning is completed and the structure is not applicable to the reacquisition phase when positioning is not valid. To overcome these shortcomings, we introduce the optimal information fusion process into the discrimination stage in advance and define a three-stage robustness factor to adjust the input influence of the satellite signal. In addition, using the discrimination gain as a core of the research, the performance difference between different discrimination methods is analyzed theoretically based on the loop control theory. In the experiment, the effectiveness of the least squares discriminator in the receiver is demonstrated through the analyses of the measurement noise variance, the pull-in reacquisition under the condition of ineffective positioning, and the measurement accuracy of positioning and velocity in a complex environment. The experimental results show that the dual-fusion strategy in the discrimination and positioning phase can significantly improve the processing performance of the receiver, whereas the robust strategy can improve the utilization effectiveness of the signal. … (more)
- Is Part Of:
- Measurement. Volume 200(2022)
- Journal:
- Measurement
- Issue:
- Volume 200(2022)
- Issue Display:
- Volume 200, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 200
- Issue:
- 2022
- Issue Sort Value:
- 2022-0200-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08-15
- Subjects:
- Pull-in reacquisition -- GNSS receiver -- Kalman filter -- Adaptive signal estimation -- Loop control
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2022.111626 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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