2022
DOI: 10.3389/fmars.2022.1019385
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Motion parameter estimation of AUV based on underwater acoustic Doppler frequency measured by single hydrophone

Abstract: This paper describes the use of a single hydrophone to estimate the motion parameters of an autonomous underwater vehicle (AUV) from the underwater acoustic signal excited by its propulsion motor. First, the frequency range of the hydroacoustic signal radiated by the AUV motor is determined, and a detection and recognition model is designed. In the case of uniform linear motion of the AUV, the geometric relationship between the Doppler frequency shift curve of the sound source is derived and the motion model o… Show more

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Cited by 2 publications
(2 citation statements)
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“…Without this, at certain speeds, it is practically impossible to receive the transmitted data. The knowledge of the Doppler is also required in underwater navigation and localization systems [5] as well as in motion parameter estimation of autonomous underwater vehicles [6]. In the vast majority of cases, chirp signals [7], especially linear [8] - [10] or hyperbolic [11], [12], are used to determine the Doppler shift.…”
Section: Volume XX 2017mentioning
confidence: 99%
“…Without this, at certain speeds, it is practically impossible to receive the transmitted data. The knowledge of the Doppler is also required in underwater navigation and localization systems [5] as well as in motion parameter estimation of autonomous underwater vehicles [6]. In the vast majority of cases, chirp signals [7], especially linear [8] - [10] or hyperbolic [11], [12], are used to determine the Doppler shift.…”
Section: Volume XX 2017mentioning
confidence: 99%
“…At present, using acoustic waves is the only method for detecting over long distances in seawater (Zhang et al, 2020;Miao et al, 2021a;Miao et al, 2021b). Underwater acoustic technology has become indispensable ocean observation, exploration, and exploitation (Xing et al, 2021;Zhang et al, 2021;Rong and Xu, 2022). The development of underwater acoustic technology is based on accurate prediction of underwater acoustic wave propagation (Zhou et al, 2021).…”
Section: Introductionmentioning
confidence: 99%