Vehicle Attitude Estimation Model Using Optimized Time-Differenced Carrier Phase

WANG Yangyang; WANG Zhongyuan; HU Chao; YU Zhihao

doi:10.13203/j.whugis20200571

Volume 48 Issue 8

Aug. 2023

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Geomatics and Information Science of Wuhan University > 2023 > 48(8): 1359-1365. > DOI: 10.13203/j.whugis20200571

WANG Yangyang, WANG Zhongyuan, HU Chao, YU Zhihao. Vehicle Attitude Estimation Model Using Optimized Time-Differenced Carrier Phase[J]. Geomatics and Information Science of Wuhan University, 2023, 48(8): 1359-1365. DOI: 10.13203/j.whugis20200571

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Vehicle Attitude Estimation Model Using Optimized Time-Differenced Carrier Phase

1.
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
2.
School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China

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Received Date: October 27, 2021
Available Online: August 02, 2023
Published Date: August 04, 2023

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Abstract

Abstract

Objectives To solve the problems of high cost and high complexity of traditional estimation method of the moving vehicles attitude angle, an innovative vehicle heading and pitch estimation model based on optimized time-differenced carrier phase is proposed.
Methods First, we use observation data of one global navigation satellite system receiver and time-differenced carrier phase algorithm with a low-complexity to obtain accurate vehicle displacement vector, further estimate vehicle heading and pitch. In order to improve the estimation efficiency, we optimize the traditional time-differenced carrier phase algorithm.
Results Static and dynamic tests results show that the optimized time-differenced carrier phase is more efficient than the general carrier phase time-difference, and the processing time can be saved by about 40%.The proposed heading and pitch estimation model can provide accurate values of heading and pitch, whose root mean square error is less than 0.2° and maximum error is less than 1.5°.The accuracy of the model will not be affected by the accumulation of errors within one hour.
Conclusions This proposed model uses only one receiver to obtain heading and pitch of moving vehicles, which has the advantages of high accuracy, low cost, low complexity and high efficiency.
- heading,
- pitch,
- time-differenced carrier phase,
- vehicle attitude estimation

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[1]	魏小峰, 耿则勋, 娄博, 等. 空间目标三维姿态估计方法[J]. 武汉大学学报(信息科学版), 2015, 40(1): 96-101. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201501016.htm Wei Xiaofeng, Geng Zexun, Lou Bo, et al. A 3D Pose Estimation Method for Space Object[J]. Geomatics and Information Science of Wuhan University, 2015, 40(1): 96-101. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201501016.htm
[2]	李田, 鲁寨军, 刘应龙, 等. 利用摄影测量在线检测轨道车辆车体运行姿态[J]. 武汉大学学报(信息科学版), 2018, 43(7): 1015-1021. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201807007.htm Li Tian, Lu Zhaijun, Liu Yinglong, et al. On-line Detection of Car-Body Running Attitude for Railway Vehicle Based on Photogrammetry[J]. Geomatics and Information Science of Wuhan University, 2018, 43(7): 1015-1021. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201807007.htm
[3]	兰建潮. 工程车辆的姿态检测研究[D]. 太原: 太原科技大学, 2018. Lan Jianchao. Research on Attitude Detection of Construction Vehicles[D]. Taiyuan: Taiyuan University of Science and Technology, 2018.
[4]	牛靖博. 车辆姿态检测及其语义地图应用[D]. 成都: 电子科技大学, 2018. Niu Jingbo. Vehicle Pose Detection and Its Semantic Map Application[D]. Chengdu: University of Electronic Science and Technology of China, 2018.
[5]	Raskaliyev A, Patel S H, Sobh T M, et al. GNSS-based Attitude Determination Techniques—A Comprehensive Literature Survey[J]. IEEE Access, 2020, 8: 24873-24886. doi: 10.1109/ACCESS.2020.2970083
[6]	Alban S. Design and Performance of a Robust GPS/INS Attitude System for Automobile Applications[D]. Stanford: Stanford University, 2004.
[7]	Sun R, Cheng Q, Wang J H. Precise Vehicle Dynamic Heading and Pitch Angle Estimation Using Time-Differenced Measurements from a Single GNSS Antenna[J]. GPS Solutions, 2020, 24(3): 84. doi: 10.1007/s10291-020-01000-2
[8]	Evans A G. Roll, Pitch, and Yaw Determination Using a Global Positioning System Receiver and an Antenna Periodically Moving in a Plane[J]. Marine Geodesy, 1986, 10(1): 43-52. doi: 10.1080/01490418609388010
[9]	Groves P D, Handley R J, Parker S T. Vehicle Heading Determination Using Only Single-Antenna GPS and a Single Gyro[C]//The 22nd International Technical Meeting of the Satellite Division of The Institute of Navigation, Savannah, USA, 2009
[10]	Bahder T B. Attitude Determination from Single-Antenna Carrier-Phase Measurements[J]. Journal of Applied Physics, 2002, 91(7): 4677-4684. doi: 10.1063/1.1448871
[11]	No H, Cho A, Han Y, et al. Attitude Determination Method Using Single-Antenna GPS Gyro and Magnetometer [C]//The Asia-Pacific International Symposium on Aerospace Technology (APISAT 2012), Jeju, Korea, 2012.
[12]	宁津生, 王华, 程鹏飞, 等. 2000国家大地坐标系框架体系建设及其进展[J]. 武汉大学学报(信息科学版), 2015, 40(5): 569-573. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201505001.htm Ning Jinsheng, Wang Hua, Cheng Pengfei, et al. System Construction and Its Progress of China Geodetic Coordinate System 2000[J]. Geomatics and Information Science of Wuhan University, 2015, 40(5): 569-573. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201505001.htm
[13]	尹潇, 柴洪洲, 向明志, 等. 历元间载波相位差分的GPS/BDS精密单点测速算法[J]. 中国惯性技术学报, 2020, 28(2): 226-230. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGXJ202002014.htm Yin Xiao, Chai Hongzhou, Xiang Mingzhi, et al. GPS/BDS Precise Stand Alone Velocity Determination Using Time-Differenced Carrier Phases[J]. Journal of Chinese Inertial Technology, 2020, 28(2): 226-230. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGXJ202002014.htm
[14]	王星星, 涂锐, 洪菊, 等. 基于历元差分原理的BDS测速模型及性能分析[J]. 大地测量与地球动力学, 2019, 39(1): 7-12. https://www.cnki.com.cn/Article/CJFDTOTAL-DKXB201901002.htm Wang Xingxing, Tu Rui, Hong Ju, et al. BDS Velocity Estimation and Performance Analysis Based on Time-Difference Model[J]. Journal of Geodesy and Geodynamics, 2019, 39(1): 7-12. https://www.cnki.com.cn/Article/CJFDTOTAL-DKXB201901002.htm
[15]	耿涛, 丁志辉, 谢新, 等. 基于载波相位差分的多频多GNSS测速精度评估[J]. 武汉大学学报(信息科学版), 2023, 48(2): 206-213. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH202302003.htm Geng Tao, Ding Zhihui, Xie Xin, et al. Accuracy Assessment of Multi-frequency and Multi-GNSS Velocity Estimation with Time Differenced Carrier Phase Method[J]. Geomatics and Information Science of Wuhan University, 2023, 48(2): 206-213. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH202302003.htm
[16]	Van Graas F, Soloviev A. Precise Velocity Estimation Using a Stand-Alone GPS Receiver[J]. Navigation, 2004, 51(4): 283-292.
[17]	易重海, 陈源军. 顾及历元间坐标差信息的GPS模糊度快速固定改进方法[J]. 武汉大学学报(信息科学版), 2019, 44(4): 489-494. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201904003.htm Yi Zhonghai, Chen Yuanjun. An Improved GPS Fast Ambiguity Resolution Algorithm with Epoch-Differenced Coordinate Information[J]. Geomatics and Information Science of Wuhan University, 2019, 44(4): 489-494. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201904003.htm
[18]	Ding W D, Wang J L. Precise Velocity Estimation with a Stand-Alone GPS Receiver[J]. Journal of Navigation, 2011, 64(2): 311-325.

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