Shuang Zhao;Yuanxi Yang;Shuqiang Xue;Zhenjie Wang;Zhen Xiao;Baojin Li
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引用次数: 0
Abstract
The seafloor hybrid constellation, composed of fixed and moored stations equipped with acoustic beacons, serves as a crucial infrastructure and holds promising prospects for possible applications in ocean submesoscale current monitoring and acoustic navigation when compared with traditionally unalloyed seafloor constellations. However, most of the acoustic positioning models are designed to handle fixed seafloor stations and do not match the actual motion characteristics of moored stations in a hybrid constellation, which may degrade the accuracy of beacon position estimation. To address this gap, a novel GNSS-acoustic (GNSS-A) positioning model is proposed in this contribution. First, the critical factor of acoustic measurements, namely, observation error of sound speed, is processed by error modeling based on the geometric angle of acoustic rays. Second, the smooth variation characteristic of physical marine signal processing is taken into consideration to estimate parameters related to time-delay error. Furthermore, the motion depiction of moored beacons is established and introduced into the observation equation system to obtain more reasonable positioning results of seafloor beacons. Finally, the proposed model is validated through tests on a sea-trial experimental dataset, along with an analysis of seafloor baseline measurements. Results and analysis show that, compared with those of traditional methods, the motion of moored beacons can be tracked in detail, and the trajectories of the four beacons maintain an overall consistency, which is expected to aid in deriving the possible ocean submesoscale currents.
期刊介绍:
Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.