Estimating the Position of Underwater Targets Based on the Emission of Noise Caused by Spinning the Propeller of Surface Vessels

Hotkani, Mojgan Mirzaei; Seyedin, Seyed Alireza

doi:10.1109/icrss48293.2019.9026552

Cited by 1 publication

(1 citation statement)

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“…This problem has been addressed with methods such as sonar, radar and arrays of passive sensors that receive information from reflected waves coming from an active source [21][22][23]. In recent years, passive location methods include: time of arrival (TOA), direction of arrival (DOA), and Matched field processing (MFP) [24], which in some cases, may have problems due to the presence of non-homogeneous media [25]. We estimate the target's location using TR on acoustic signals from the ship noise.…”

Section: Introductionmentioning

confidence: 99%

Locating Ships Using Time Reversal and Matrix Pencil Method by Their Underwater Acoustic Signals

Chaparro-Arce

Gutiérrez

Gallego

et al. 2021

Sensors

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This paper presents a technique, based on the matrix pencil method (MPM), for the compression of underwater acoustic signals produced by boat engines. The compressed signal, represented by its complex resonance expansion, is intended to be sent over a low-bit-rate wireless communication channel. We demonstrate that the method can provide data compression greater than 60%, ensuring a correlation greater than 93% between the reconstructed and the original signal, at a sampling frequency of 2.2 kHz. Once the signal was reconstituted, a localization process was carried out with the time reversal method (TR) using information from four different sensors in a simulation environment. This process sought to achieve the identification of the position of the ship using only passive sensors, considering two different sensor arrangements.

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