Bayesian estimator based target localization in ship monitoring system using multiple compact high frequency surface wave radars

Sangwook Park, Chul Jin Cho, Younglo Lee, Andrew Da Costa, Sang Ho Lee, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, the usage of high frequency surface wave radars has been expanded to monitoring of ships within observable region because it can always observe wide target region with low power consumption. However, ship monitoring systems using high frequency radars suffer from the fact that a detection position is far away from true position. To resolve this problem, the proposed method determines final location by applying Bayesian estimator to detection results from each ship monitoring system in high frequency radar network. According to Bayesian theory, a posterior distribution is factorized into likelihood and prior distributions, and both distributions are modeled by using each detection results and auto-identification system data, respectively. Effectiveness of the proposed method is demonstrated through appropriate synthetic and real data. From the results, location accuracy can be improved when the proposed method is applied to location estimation.

Original languageEnglish
Title of host publicationMultisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System - An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems MFI 2017
PublisherSpringer Verlag
Pages157-167
Number of pages11
ISBN (Print)9783319905082
DOIs
Publication statusPublished - 2018 Jan 1
Event13th IEEE International Conference on Multisensor Integration and Fusion, IEEE MFI 2017 - Daegu, Korea, Republic of
Duration: 2017 Nov 162017 Nov 22

Publication series

NameLecture Notes in Electrical Engineering
Volume501
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other13th IEEE International Conference on Multisensor Integration and Fusion, IEEE MFI 2017
CountryKorea, Republic of
CityDaegu
Period17/11/1617/11/22

Fingerprint

Surface waves
Ships
Monitoring
Identification (control systems)
Radar
Electric power utilization

Keywords

  • Compact HF radar network
  • Distributed sensor network
  • Fusion
  • HF surface wave radar
  • Ship detection

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Park, S., Cho, C. J., Lee, Y., Da Costa, A., Lee, S. H., & Ko, H. (2018). Bayesian estimator based target localization in ship monitoring system using multiple compact high frequency surface wave radars. In Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System - An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems MFI 2017 (pp. 157-167). (Lecture Notes in Electrical Engineering; Vol. 501). Springer Verlag. https://doi.org/10.1007/978-3-319-90509-9_9

Bayesian estimator based target localization in ship monitoring system using multiple compact high frequency surface wave radars. / Park, Sangwook; Cho, Chul Jin; Lee, Younglo; Da Costa, Andrew; Lee, Sang Ho; Ko, Hanseok.

Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System - An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems MFI 2017. Springer Verlag, 2018. p. 157-167 (Lecture Notes in Electrical Engineering; Vol. 501).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Park, S, Cho, CJ, Lee, Y, Da Costa, A, Lee, SH & Ko, H 2018, Bayesian estimator based target localization in ship monitoring system using multiple compact high frequency surface wave radars. in Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System - An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems MFI 2017. Lecture Notes in Electrical Engineering, vol. 501, Springer Verlag, pp. 157-167, 13th IEEE International Conference on Multisensor Integration and Fusion, IEEE MFI 2017, Daegu, Korea, Republic of, 17/11/16. https://doi.org/10.1007/978-3-319-90509-9_9
Park S, Cho CJ, Lee Y, Da Costa A, Lee SH, Ko H. Bayesian estimator based target localization in ship monitoring system using multiple compact high frequency surface wave radars. In Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System - An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems MFI 2017. Springer Verlag. 2018. p. 157-167. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-3-319-90509-9_9
Park, Sangwook ; Cho, Chul Jin ; Lee, Younglo ; Da Costa, Andrew ; Lee, Sang Ho ; Ko, Hanseok. / Bayesian estimator based target localization in ship monitoring system using multiple compact high frequency surface wave radars. Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System - An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems MFI 2017. Springer Verlag, 2018. pp. 157-167 (Lecture Notes in Electrical Engineering).
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