An Optimization Method of Ambiguity Function Based on Multi-Antenna Constrained and Application in Vehicle Attitude Determination

The global navigation satellite system (GNSS)-based multi-antenna attitude determination method has the advantages of a simple algorithm and no error accumulation with time in long endurance operation. However, it is sometimes difficult to simultaneous obtain the fixed solutions of all antennas in v...

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Main Authors: Yinzhi Zhao, Jingui Zou, Peng Zhang, Jiming Guo, Xinzhe Wang, Gege Huang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/13/1/64
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author Yinzhi Zhao
Jingui Zou
Peng Zhang
Jiming Guo
Xinzhe Wang
Gege Huang
author_facet Yinzhi Zhao
Jingui Zou
Peng Zhang
Jiming Guo
Xinzhe Wang
Gege Huang
author_sort Yinzhi Zhao
collection DOAJ
description The global navigation satellite system (GNSS)-based multi-antenna attitude determination method has the advantages of a simple algorithm and no error accumulation with time in long endurance operation. However, it is sometimes difficult to simultaneous obtain the fixed solutions of all antennas in vehicle attitude determination. If float or incorrect fixed solutions are used, precision and reliability of attitude cannot be guaranteed. Given this fact, a baseline-constrained ambiguity function method (BCAFM) based on a self-built four GNSS antennas hardware platform is proposed. The coordinates obtained by BCAFM can replace the unreliable real-time kinematic (RTK) float or incorrect fixed solutions, so as to assist the direct method for attitude determination. In the proposed BCAFM, the baseline constraint is applied to improve search efficiency (searching time), and the ambiguity function value (AFV) formula is optimized to enhance the discrimination of true peak. The correctness of the proposed method is verified by vehicle attitude determination results and baseline length difference. Experimental results demonstrate that the function values of error peaks are reduced, and the only true peak can be identified accurately. The valid epoch proportion increases by 14.95% after true peak coordinates are used to replace the GNSS-RTK float or incorrect fixed solutions. The precision of the three attitude angles is 0.54°, 1.46°, and 1.15°, respectively. Meanwhile, the RMS of baseline length difference is 3.8 mm.
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spelling doaj.art-140c37723f564ba6b03cbd4b790835772023-11-23T14:44:19ZengMDPI AGMicromachines2072-666X2021-12-011316410.3390/mi13010064An Optimization Method of Ambiguity Function Based on Multi-Antenna Constrained and Application in Vehicle Attitude DeterminationYinzhi Zhao0Jingui Zou1Peng Zhang2Jiming Guo3Xinzhe Wang4Gege Huang5School of Geodesy and Geomatics, Wuhan University, Wuhan 430072, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430072, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430072, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430072, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430072, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, ChinaThe global navigation satellite system (GNSS)-based multi-antenna attitude determination method has the advantages of a simple algorithm and no error accumulation with time in long endurance operation. However, it is sometimes difficult to simultaneous obtain the fixed solutions of all antennas in vehicle attitude determination. If float or incorrect fixed solutions are used, precision and reliability of attitude cannot be guaranteed. Given this fact, a baseline-constrained ambiguity function method (BCAFM) based on a self-built four GNSS antennas hardware platform is proposed. The coordinates obtained by BCAFM can replace the unreliable real-time kinematic (RTK) float or incorrect fixed solutions, so as to assist the direct method for attitude determination. In the proposed BCAFM, the baseline constraint is applied to improve search efficiency (searching time), and the ambiguity function value (AFV) formula is optimized to enhance the discrimination of true peak. The correctness of the proposed method is verified by vehicle attitude determination results and baseline length difference. Experimental results demonstrate that the function values of error peaks are reduced, and the only true peak can be identified accurately. The valid epoch proportion increases by 14.95% after true peak coordinates are used to replace the GNSS-RTK float or incorrect fixed solutions. The precision of the three attitude angles is 0.54°, 1.46°, and 1.15°, respectively. Meanwhile, the RMS of baseline length difference is 3.8 mm.https://www.mdpi.com/2072-666X/13/1/64GNSSmulti-antennaattitude determinationambiguity resolutionbaseline-constrained AFM
spellingShingle Yinzhi Zhao
Jingui Zou
Peng Zhang
Jiming Guo
Xinzhe Wang
Gege Huang
An Optimization Method of Ambiguity Function Based on Multi-Antenna Constrained and Application in Vehicle Attitude Determination
Micromachines
GNSS
multi-antenna
attitude determination
ambiguity resolution
baseline-constrained AFM
title An Optimization Method of Ambiguity Function Based on Multi-Antenna Constrained and Application in Vehicle Attitude Determination
title_full An Optimization Method of Ambiguity Function Based on Multi-Antenna Constrained and Application in Vehicle Attitude Determination
title_fullStr An Optimization Method of Ambiguity Function Based on Multi-Antenna Constrained and Application in Vehicle Attitude Determination
title_full_unstemmed An Optimization Method of Ambiguity Function Based on Multi-Antenna Constrained and Application in Vehicle Attitude Determination
title_short An Optimization Method of Ambiguity Function Based on Multi-Antenna Constrained and Application in Vehicle Attitude Determination
title_sort optimization method of ambiguity function based on multi antenna constrained and application in vehicle attitude determination
topic GNSS
multi-antenna
attitude determination
ambiguity resolution
baseline-constrained AFM
url https://www.mdpi.com/2072-666X/13/1/64
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