Chen KuanYu, Huang Chen-Fen, Huang Sheng-Wei, Liu Jin-Yuan, Guo Jenhwa
Institute of Oceanography, National Taiwan University, Taipei 10617, Taiwan, Republic of China.
Department of Engineering Science and Ocean Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China.
J Acoust Soc Am. 2020 Oct;148(4):EL353. doi: 10.1121/10.0002031.
With the increased availability of highly maneuverable unmanned surface/underwater vehicles, abundant ocean data can now be collected. This study uses tomographic techniques to extend the survey area covered by moving vehicles. An acoustic reciprocal transmission experiment was conducted using three tomographic sensors installed on an autonomous underwater vehicle, a fishing ship, and a buoy. The distributed sensing method is applied for currents estimation. The estimated currents near the ship show consistent results with the direct measurements. In particular, an anticyclonic circulation was revealed. Further, a general least-squares method is employed to improve the estimate of this vortical structure.
随着高机动性无人水面/水下航行器的可用性增加,现在可以收集大量海洋数据。本研究使用层析成像技术来扩大移动航行器覆盖的调查区域。使用安装在自主水下航行器、渔船和浮标上的三个层析成像传感器进行了声学互易传输实验。分布式传感方法用于海流估计。船附近估计的海流与直接测量结果一致。特别是,揭示了一个反气旋环流。此外,采用一般最小二乘法来改进对这种涡旋结构的估计。