A stochastic model for precise GNSS/acoustic underwater positioning based on transmission loss of signal intensity

被引:0
|
作者
Zhen Sun
Zhenjie Wang
Zhixi Nie
机构
[1] China University of Petroleum (East China),College of Oceanography and Space Informatics
来源
GPS Solutions | 2023年 / 27卷
关键词
GNSS/A underwater positioning; Stochastic model; Transmission loss; Accuracy;
D O I
暂无
中图分类号
学科分类号
摘要
Global navigation satellite system (GNSS)/acoustic (GNSS/A) underwater positioning technique is widely applied in the fields of marine scientific research and engineering applications. A more accurate and reliable stochastic model is required for precise GNSS/A underwater positioning. The transmission loss (TL) describes the decrease in acoustic intensity associated with a bubble curtain or other damping structure at a given frequency. It can characterize the noise level of acoustic ranging measurements in the presence of background noise in the ocean. This contribution proposes a stochastic model for precise GNSS/A underwater positioning based on the transmission loss of signal intensity. The transmission loss of signal intensity is obtained according to the acoustic ray-tracing method and then used in the proposed stochastic model to calculate the variance matrix of acoustic ranging measurements. To verify the performance of the proposed method, a lake experiment was carried out. The results show that the ray incidence angle stochastic model performs worse in seafloor transponder positioning if acoustic observations contain gross errors, especially when the observations with low incidence angles contain gross errors. The proposed method provides a stable positioning performance. The positioning accuracy with the proposed method is improved by approximately 30–83% over the equal-weighted stochastic model and 10–82% over the ray incidence angle stochastic model.
引用
收藏
相关论文
共 50 条
  • [41] Enhanced GNSS-acoustic positioning method implementing with constraints on underwater sound speed structure
    Fumiaki Tomita
    Earth, Planets and Space, 76 (1):
  • [42] LEO enhanced GNSS (LeGNSS) precise point positioning with emphasis on model comparison
    Ge, Haibo
    Meng, Guanlong
    Li, Bofeng
    ADVANCES IN SPACE RESEARCH, 2024, 74 (05) : 2156 - 2168
  • [43] Development of a kinematic GNSS-Acoustic positioning method based on a state-space model
    Tomita, Fumiaki
    Kido, Motoyuki
    Honsho, Chie
    Matsui, Ryo
    EARTH PLANETS AND SPACE, 2019, 71 (01):
  • [44] Network-Based Stochastic Model for Instantaneous GNSS Real-Time Kinematic Positioning
    Prochniewicz, Dominik
    Szpunar, Ryszard
    Brzezinski, Aleksander
    JOURNAL OF SURVEYING ENGINEERING, 2016, 142 (04)
  • [45] Development of a kinematic GNSS-Acoustic positioning method based on a state-space model
    Fumiaki Tomita
    Motoyuki Kido
    Chie Honsho
    Ryo Matsui
    Earth, Planets and Space, 71
  • [46] Application of Stochastic Resonance Technology in Underwater Acoustic Weak Signal Detection
    Ji Shu-Yao
    Yuan Fei
    Chen Ke-Yu
    Cheng En
    OCEANS 2016 - SHANGHAI, 2016,
  • [47] Underwater acoustic signal denoising model based on secondary variational mode decomposition
    Yang, Hong
    Shi, Wen-shuai
    Li, Guo-hui
    DEFENCE TECHNOLOGY, 2023, 28 : 87 - 110
  • [48] Underwater positioning system based on INS and acoustic buoy system for underwater vehicle
    Zhang T.
    Hu H.-Q.
    Wang Z.-Q.
    Liu Q.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2016, 24 (06): : 741 - 745
  • [49] Analyzing Propagation Delay, Transmission Loss and Signal to Noise Ratio in Acoustic Channel for Underwater Wireless Sensor Networks
    Kularia, Yamini
    Kohli, Sheena
    Bhattacharya, Partha Pratim
    PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016), 2016,
  • [50] Underwater acoustic signal denoising model based on secondary variational mode decomposition
    Hong Yang
    Wen-shuai Shi
    Guo-hui Li
    Defence Technology, 2023, 28 (10) : 87 - 110