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针对多天线技术在全球卫星导航系统(GNSS)组合声学测距应用中存在解算效率不高的问题,提出多天线GNSS/声学组合定位模型和虚拟天线GNSS/声学组合定位模型:采用精准化天线位置的方式实现高效率解算;然后通过水下定位仿真实验,对比分析虚拟天线定位模型与多天线定位模型。结果表明,在海底定位精度方面,虚拟天线定位模型与多天线定位模型相近,多天线定位模型及虚拟天线定位模型优于传统单天线定位模型;在解算效率方面,虚拟天线定位模型优于多天线定位模型,虚拟天线定位模型处理耗时180.020 s,多天线定位模型处理耗时50.257 s,解算效率提升约3.6倍。
Abstract:Aiming at the problem of low solution efficiency of multi-antenna technology in the application of global navigation satellite system(GNSS) combined acoustic ranging, the paper proposed a multi-antenna GNSS/acoustic combined positioning model and a virtual antenna GNSS/acoustic combined positioning model: the precise antenna position was adopted to achieve high-efficiency solution; and then through underwater positioning simulation experiments, the virtual antenna positioning model and the multi-antenna positioning model were compared and analyzed. Result showed that in terms of seafloor positioning accuracy, the virtual antenna positioning model would be similar to the multi-antenna positioning model, and the multi-antenna positioning model and the virtual antenna positioning model could be better than the traditional single-antenna positioning model;meanwhile, in terms of solution efficiency, the virtual antenna positioning model would be superior to the multi-antenna positioning model, the virtual antenna positioning model would take 180.020 s for processing, and the multi-antenna positioning model 50.257 s, indicating that the solution efficiency could be improved by about 3.6 times.
[1]杨元喜,徐天河,薛树强.我国海洋大地测量基准与海洋导航技术研究进展与展望[J].测绘学报, 2017, 46(1):1-8.
[2] SPIESS F N. Suboceanic geodetic measurements[J]. IEEE Transactions on Geoence and Remote Sensing, 1985,23(4):502-510.
[3]陈瀚,丘学林,贺恩远,等.深渊着陆器坐底位置的精确测量和反演计算[J].地球物理学报, 2019, 62(5):1744-1754.
[4]杨元喜,刘焱雄,孙大军,等.海底大地基准网建设及其关键技术[J].中国科学:地球科学, 2020, 5(7):936-945.
[5] YOKOTA Y, ISHIKAWA T, WATANABE S. Gradient field of undersea sound speed structure extracted from the GNSS-A oceanography:GNSS-A as a sensor for detecting sound speed gradient[J]. Marine Geophysical Research,2019, 40(4):493-504.
[6]齐运驰.多天线GNSS差分定位技术研究[D].大连:大连理工大学, 2020.
[7]汤佳明,柴艳菊,闻德保,等. GNSS多天线基线网单历元模糊度同步解算法[J].大地测量与地球动力学,2019, 39(3):262-268.
[8]韦永僧,贺凯飞,刘笃学,等.基于基线长度加权的GNSS多天线姿态测量方法[J].遥测遥控, 2022, 43(3):18-23.
[9]杨鸿毅,王潜心,胡超,等. GPS/BDS组合多天线定姿与精度分析[J].合肥工业大学学报(自然科学版), 2020,43(6):818-822,854.
[10]杨鸿毅,王潜心. GNSS双天线定姿研究及软件实现[D].徐州:中国矿业大学, 2019.
[11]朱锋,张小红. GNSS/SINS/视觉多传感器融合的精密定位定姿方法与关键技术[D].武汉:武汉大学, 2019.
[12]张文勤,周文清,邵毅.基于双天线GNSS/SINS组合的风速测量运动补偿方案设计[J].电子测量技术, 2022,45(19):1-6.
[13]胡付帅.多天线GNSS/INS精密定姿算法研究[D].北京:中国科学院大学, 2021.
[14]柴艳菊,胡付帅,钟世明.多天线GNSS/INS组合导航算法及结果分析[C]//第十二届中国卫星导航年会.南昌:出版者不详, 2021:146-150.
[15]刘璞宇,邹喜华,李阳,等.光载一机多天线远程GNSS差分监测系统[J].雷达学报, 2019, 8(2):197-204.
[16]明锋,杨元喜,曾安敏.基于贝叶斯估计的深海GNSS-A定位精度[J].地球物理学报, 2023, 66(3):951-960.
[17] WATANABE S, SISHIKAWA T, YOKOTA Y, et al. GARPOS:Analysis software for the GNSS-A seafloor positioning with simultaneous estimation of sound speed structure[J]. Frontiers in Earth Science, 2020:508.
[18]李伟嘉,王振杰,孙振,等.基于深度约束的超短基线声速改正方法[J].导航定位学报, 2022, 10(5):40-45.
[19]于燕婷,许江宁,林恩凡,等.单信标水声定位技术研究现状及应用展望[J].导航定位学报, 2022, 10(2):13-20.
[20] LIU Y X, XUE S Q, QU G Q, et al. Influence of the ray elevation angle on seafloor positioning precision in the context of acoustic ray tracing algorithm[J]. Applied Ocean Research, 2020, 105:102403.
[21]邵振华,徐克科,侯争,等.日本本州岛区域共模误差对测站速度的影响[J].导航定位学报, 2022, 10(4):153-160.
[22]陆秀平,边少锋,黄谟涛,等.常梯度声线跟踪中平均声速的改进算法[J].武汉大学学报(信息科学版), 2012,37(5):590-593.
[23] IKUTA R, TADOKORO K, ANDO M, et al. A new GPS-acoustic method for measuring ocean floor crustal deformation:application to the Nankai Trough[J]. Journal of Geophysical Research Solid Earth, 2008, 113(B2):1-12.
[24] DE BOOR C. A practical guide to splines[M]. New York:Springer-Verlag, 1978:87-91.
[25] FUJITA M, SATO M, YABUKI T. Development of seafloor positioning software using inverse method[J]. Report of Hydrographic and Oceanographic Researches, 2004, 22:50-56.
[26] NAKAMURA Y, YOKOTA Y, ISHIKAWA T, et al. Optimal transponder array and survey line configurations for GNSS-A observation evaluated by numerical simulation[J]. Frontiers in Earth Science, 2021, 9:600993.
[27] SATO M, FUJITA M. Effects of sound velocity profiles in the seafloor geodetic observation[J]. Report of Hydrographic and Oceanographic Researches, 2004, 22:42-49.
[28]禹小康.海洋声速场构建与海底基准网平差方法研究[D].西安:长安大学, 2021.
[29]马越原,曾安敏,许扬胤.圆走航模式下海底控制点对称差分定位模型及分析[J/OL].武汉大学学报(信息科学版).[2023-12-02]. https://doi.org/10.13203/j.whugis20210087.
[30] HONSHO C, KIDO M. Comprehensive analysis of travel time data collected through GPS-acoustic observation of seafloor crustal movement[J]. Journal of Geophysical Research:Solid Earth, 2017, 122(10):8583-8599.
基本信息:
DOI:10.16547/j.cnki.10-1096.20240512
中图分类号:TN967.1
引用信息:
[1]肖圳,韩保民,薛树强,等.多天线GNSS/声学测距组合定位优化模型[J].导航定位学报,2024,12(05):98-105.DOI:10.16547/j.cnki.10-1096.20240512.
基金信息:
国家自然科学基金项目(41931076); 崂山实验室科技创新项目(LSKJ202205100,LSKJ202205105)
2023-05-06
2023
2023-12-26
2024-01-25
2024
1
2024-08-28
2024-08-28
2024-08-28