Junting Wang, Tianhe Xu, Yangfan Liu, Mowen Li, Long Li
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引用次数: 1
Abstract
Abstract Underwater acoustic navigation technology is an important approach to achieving high precision ocean navigation. One of the critical issues of the technology is to correct systematic errors, which are related to time delays and time-varying sound speed errors. In this study, we propose an augmented underwater acoustic navigation with systematic error model based on seafloor datum network. The proposed algorithm first selects data sets of piece-wise systematic error modeling by extracting the main periodic term of systematic errors based on the Fourier transform. Before that, the wavelet transform is used for denoising to better extract the main periodic term. Then the systematic error correction model is constructed by using the polynomial fitting method. After that, an augmented observation equation of underwater acoustic navigation with systematic error correction is constructed. Finally, an adaptive robust Kalman filter is developed for underwater acoustic navigation. The proposed algorithm is verified by an experiment in the South China Sea. The three-dimensional root mean square values of underwater acoustic navigation are 1.010 and 1.502 m in the operating range of 2.7 and 8.7 km. The results demonstrate that the proposed algorithm can efficiently reduce the influence of systematic error, thus improving underwater acoustic navigation accuracy.
期刊介绍:
The aim of Marine Geodesy is to stimulate progress in ocean surveys, mapping, and remote sensing by promoting problem-oriented research in the marine and coastal environment.
The journal will consider articles on the following topics:
topography and mapping;
satellite altimetry;
bathymetry;
positioning;
precise navigation;
boundary demarcation and determination;
tsunamis;
plate/tectonics;
geoid determination;
hydrographic and oceanographic observations;
acoustics and space instrumentation;
ground truth;
system calibration and validation;
geographic information systems.