Target motion analysis with evolutionary search by fusion of two moving acoustic sensors

Hyunhak Shin, Wooyoung Hong, Ria Kim, Hanseok Ko

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

Abstract

This paper focuses on target motion analysis by fusion of information from two moving acoustic sensors. These two sensors may obtain small measurements in order to make quick analysis of moving targets. In this situation, conventional approaches often fail to find accurate motion of targets. In this paper, a fusion algorithm for target motion analysis designed to handle this situation is proposed. First, optimization based PSO is applied in order to find accurate initial motion of targets. Second, the target trajectory is estimated via a sequential fusion algorithm based on UKF. According to the various simulated results, the effectiveness of the proposed method is then verified.

Original languageEnglish
Title of host publicationMFI 2017 - 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages247-252
Number of pages6
Volume2017-November
ISBN (Electronic)9781509060641
DOIs
Publication statusPublished - 2017 Dec 7
Event13th IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017 - Daegu, Korea, Republic of
Duration: 2017 Nov 162017 Nov 18

Other

Other13th IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017
CountryKorea, Republic of
CityDaegu
Period17/11/1617/11/18

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

Cite this

Shin, H., Hong, W., Kim, R., & Ko, H. (2017). Target motion analysis with evolutionary search by fusion of two moving acoustic sensors. In MFI 2017 - 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (Vol. 2017-November, pp. 247-252). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MFI.2017.8170436