The adaptive filtering algorithm of GNSS/acoustic joint positioning

被引：0
|
作者：
Kuang Y. [1 ]
Lü Z. [1 ]
Wang F. [1 ]
Li L. [1 ]
Yang K. [1 ]
机构：
[1] Information Engineering University, Zhengzhou
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2020年 / 49卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Abnormal parameters; Adaptive weight filtering; Disturbance of dynamic model; GNSS/acoustic joint positioning; Seafloor control points;
D O I：
10.11947/j.AGCS.2020.20190393
中图分类号：
学科分类号：
摘要：
The layout of seafloor control points is an important part of constructing the marine space-time frame. And the reliable marine datum positioning models and methods are the premise and basis for the layout of high-precision seafloor control points. The widely used vessel sailing surveying has both flexibility and controllability. However, there are also the inevitable abnormal disturbance effects of the vessel, which leads to the distortion of the joint positioning model of seafloor control points. To solve this problem, a GNSS/acoustic joint positioning algorithm based on adaptive weight filtering is proposed. First, the GNSS/acoustic joint positioning mathematical model for combined sea surface and underwater observation processes is derived. Then the criterion of judging the dynamic disturbance when using the adaptive filter to solve the joint positioning model is studied, and the method of constructing adaptive factors for each state parameter is given. Finally, the simulated and the measured data were used to carry out the experiment. Results show that the adaptive filtering algorithm can effectively improve the abnormal influence of state disturbance on GNSS/acoustic joint positioning, and promote its positioning stability and accuracy. When the corresponding adaptive factors of various state parameters are constructed reasonably, the best performance of the filtering effect is proved. © 2020, Surveying and Mapping Press. All right reserved.
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页码：854 / 864
页数：10
相关论文
共 18 条
  • [1] LIU Jingnan, CHEN Guanxu, ZHAO Jianhu, Et al., Development and trends of marine space-time frame network, Geomatics and Information Science of Wuhan University, 44, 1, pp. 17-37, (2019)
  • [2] SPIESS F N., Analysis of a possible sea floor strain measurement system, Marine Geodesy, 9, 4, pp. 385-398, (1985)
  • [3] OBANA K, KATAO H, ANDO M., Seafloor positioning system with GPS-acoustic link for crustal dynamics observation: a preliminary result from experiments in the sea, Earth, Planets and Space, 52, 6, pp. 415-423, (2000)
  • [4] FUJITA M, ISHIKAWA T, MOCHIZUKI M, Et al., GPS/acoustic seafloor geodetic observation: method of data analysis and its application, Earth, Planets and Space, 58, 3, pp. 265-275, (2006)
  • [5] CHEN H H, WANG C C., Optimal localization of a seafloor transponder in shallow water using acoustic ranging and GPS observations, Ocean Engineering, 34, 17-18, pp. 2385-2399, (2007)
  • [6] BALLU V, BOUIN M N, CALMANT S, Et al., Absolute seafloor vertical positioning using combined pressure gauge and kinematic GPS data, Journal of Geodesy, 84, 1, pp. 65-77, (2010)
  • [7] PURCELL G H J, YOUNG L E, WOLF S K, Et al., Accurate GPS measurement of the location and orientation of a floating platform, Marine Geodesy, 14, 3-4, pp. 255-264, (1990)
  • [8] SPIESS F N, CHADWELL C D, HILDEBRAND J A, Et al., Precise GPS/acoustic positioning of seafloor reference points for tectonic studies, Physics of the Earth and Planetary Interiors, 108, 2, pp. 101-112, (1998)
  • [9] LI Ming, Precision investigation for ocean bottom control network using GPS, Journal of Wuhan Technical University of Surveying and Mapping, 17, 1, pp. 74-82, (1992)
  • [10] SUN Wenzhou, YIN Xiaodong, ZENG Anmin, The relationship between propagation time and sound velocity profile for positioning seafloor reference points, Marine Geodesy, 42, 2, pp. 186-200, (2019)
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