Underwater Electro-Location Method Based on Improved Matrix Adaptation Evolution Strategy

Xu, Yidong; Guo, Lili; Shang, Wenjing; Li, Yingsong

doi:10.1109/access.2018.2855965

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…In terms of the source localization error, the distance between the source and the estimation results is not greater than 1cm. Comparing this promising result with similar studies like (27) implies the added advantage of the LSSL algorithm.…”

Section: Discussionsupporting

confidence: 65%

Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium

et al. 2022

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Accurate detection of oscillatory electrical signals emitted from remote sources is necessary in many applications but poses several challenges. The major challenge is attributed to the source voltage and conductivity of the medium through which signals must transmit before they can be sensed by the receiving electrodes/sensors. This study introduces a novel algorithm to optimize source identification where low-voltage (mV range) signals transmit through a conductive medium. The proposed algorithm uses the measured data from different oscillatory signal sources and solves an inverse problem by minimizing a cost function to estimate all the signal properties, including the locations, frequencies, and phases. To increase the overall signal accuracy for a wide range of initial guess frequencies, we have utilized the Lomb-Scargle spectral analysis along with the Least Squares error optimization method. The data utilized in this study comes from an experimental setup that includes a bucket filled with salt-water as the conductive medium, multiple low-voltage signal sources and 32 remotely located sensors. The sources generate sine waves with amplitude of 10 mV and frequencies between 10 -40 Hz. The average signal-to-noise ratio is approximately 10 dB. The algorithm has been validated using a single-source and multi-source setup. We observed that our algorithm can identify the source location within 10 mm from the actual source immersed inside the bucket of radius =∼ 90 mm. Moreover, the frequency estimation error is nearly zero, which justifies the effectiveness of our proposed method.

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Section: Discussionsupporting

confidence: 65%

Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium

et al. 2022

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“…Acoustic signals have the advantage of less attenuation and longer underwater propagation distance than other methods. The underwater target positioning technology based on acoustic waves has provided a relatively complete theoretical system and has achieved considerable development [13,14]. However, the positioning performance of the acoustic method degrades due to specific factors, such as multipath effect, sonar scan angle, background noise, geomorphic structure complexity, and Doppler effect [15,16].…”

Section: Introductionmentioning

confidence: 99%

An Improved Underwater Electric Field-Based Target Localization Combining Subspace Scanning Algorithm And Meta-EP PSO Algorithm

Shang

Xue

et al. 2020

JMSE

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In this paper, we propose an improved three-dimensional underwater electric field-based target localization method. This method combines the subspace scanning algorithm and the meta evolutionary programming (meta-EP) particle swarm optimization (PSO) algorithm. The subspace scanning algorithm is applied as the evaluation function of the electric field-based underwater target locating problem. The meta-EP PSO method is used to select M elite particles by the q-tournament selection method, which could effectively reduce the computational complexity of the three-dimensional underwater target localization. Moreover, the proposed meta-EP PSO optimization algorithm can avoid subspace scanning trapping into local minima. We also analyze the positioning performance of the uniform circular and cross-shaped electrodes arrays by using the subspace scanning algorithm combined with meta–EP PSO. According to the simulation, the calculation amount of the proposed algorithm is greatly reduced. Moreover, the positioning accuracy is effectively improved without changing the positioning accuracy and search speed.

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Locating and tracking of underwater sphere target based on active electrosense

Peng,

Jiang,

et al. 2023

Sensors and Actuators A: Physical

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Underwater Electro-Location Method Based on Improved Matrix Adaptation Evolution Strategy

Cited by 5 publications

References 33 publications

Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium

Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium

An Improved Underwater Electric Field-Based Target Localization Combining Subspace Scanning Algorithm And Meta-EP PSO Algorithm

Locating and tracking of underwater sphere target based on active electrosense

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