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Centimeter‑level‑precision seafloor geodetic positioning model with self‑structured empirical sound speed profile 被引量:11

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摘要 In-field Sound Speed Profile(SSP)measurement is still indispensable for achieving centimeter-level-precision Global Navigation Satellite System(GNSS)-Acoustic(GNSS-A)positioning in current state of the art.However,in-field SSP measurement on the one hand causes a huge cost and on the other hand prevents GNSS-A from global seafloor geodesy especially for real-time applications.We propose an Empirical Sound Speed Profile(ESSP)model with three unknown temperature parameters jointly estimated with the seafloor geodetic station coordinates,which is called the 1st-level optimization.Furthermore,regarding the sound speed variations of ESSP we propose a so-called 2nd-level optimization to achieve the centimeter-level-precision positioning for monitoring the seafloor tectonic movement.Long-term seafloor geodetic data analysis shows that,the proposed two-level optimization approach can achieve almost the same positioning result with that based on the in-field SSP.The influence of substituting the in-field SSP with ESSP on the horizontal coordinates is less than 3 mm,while that on the vertical coordinate is only 2–3 cm in the standard deviation sense.
出处 《Satellite Navigation》 SCIE EI CSCD 2023年第3期35-53,共19页 卫星导航(英文)
基金 This study was financially supported by National Natural Science Foundation of China(41931076) Laoshan Laboratory(LSKJ202205100,LSKJ202205105) The Special Fund of Chinese Central Government for Basic Scientific Research Operations(AR2115).
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