Simulation and Analysis of Joint Acoustic and Magnetic Underwater Target Detection and Tracking Models

This paper analyzes and researches the problem of underwater target tracking in deep and distant water, and designs a joint acoustic-magnetic underwater target detection and tracking scheme with initial positioning of sonar buoys and precise positioning and tracking of magnetic detection drone in formation. Meanwhile, based on the FD (Flaming Datum) algorithm, a joint acoustic-magnetic underwater target detection and tracking model is established using Monte Carlo method, and the model simulation analysis is carried out for several variable parameters. The simulation analysis concludes that five variable parameters, namely, buoy detection error coefficient, number of magnetic detection drones, search speed of magnetic detection drone, search radius of magnetic detection drone, and target escape speed, have a large impact on the probability of underwater target detection, and can be combined with the capabilities of sonobuoys and magnetic detection drones to formulate a corresponding detection scheme for different target characteristics, so as to achieve efficient and fast detection results.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/icmsp64464.2024.10867254
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation and Analysis of Joint Acoustic and Magnetic Underwater Target Detection and Tracking Models

Wei Rao, Jingran Wang, Kuikui Jiao
Target Tracking and Data Fusion in Sensor Networks
article

Simulation and Analysis of Joint Acoustic and Magnetic Underwater Target Detection and Tracking Models

Wei Rao, Jingran Wang, Kuikui Jiao
article en

Abstract

This paper analyzes and researches the problem of underwater target tracking in deep and distant water, and designs a joint acoustic-magnetic underwater target detection and tracking scheme with initial positioning of sonar buoys and precise positioning and tracking of magnetic detection drone in formation. Meanwhile, based on the FD (Flaming Datum) algorithm, a joint acoustic-magnetic underwater target detection and tracking model is established using Monte Carlo method, and the model simulation analysis is carried out for several variable parameters. The simulation analysis concludes that five variable parameters, namely, buoy detection error coefficient, number of magnetic detection drones, search speed of magnetic detection drone, search radius of magnetic detection drone, and target escape speed, have a large impact on the probability of underwater target detection, and can be combined with the capabilities of sonobuoys and magnetic detection drones to formulate a corresponding detection scheme for different target characteristics, so as to achieve efficient and fast detection results.

Hangzhou Institute of Applied Acoustics (CN)
Life below water
Openalex Percentile: Top 75%
Target Tracking and Data Fusion in Sensor Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simulation and Analysis of Joint Acoustic and Magnetic Underwater Target Detection and Tracking Models — Wei Rao, Jingran Wang, et al. · (2024) | TGRS Research Map | TGRS