A novel weak target detection strategy for moving active sonar

Mingyang Wei, Bo Shi*, Chengpeng Hao, Shefeng Yan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

In this paper we present an algorithm combined underwater space-time adaptive processing (STAP) model with dynamic programming based track-before-detect (DP-TBD) strategy to solve weak target detection problem for the moving active sonar. As a preliminary step the STAP model for underwater environment is introduced to coherently suppress the reverberation data caused by platform motion and to improve the signal-to-reverberation ratio (SRR). Then, resorting to GLRT and ad hoc procedures, we derive adaptive constant false-alarm rate (CFAR) detectors for the homogeneous underwater environment. Finally, we use the DP-TBD strategy to detect the presence of target by taking the test statistics as the scoring function of strategy. Simulation results have demonstrated that the proposed STAP-DP-TBD method has a better detection performance compared to the traditional reverberation - suppressing method.

Original languageEnglish
Title of host publication2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538616543
DOIs
Publication statusPublished - 4 Dec 2018
Externally publishedYes
Event2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 - Kobe, Japan
Duration: 28 May 201831 May 2018

Publication series

Name2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

Conference

Conference2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
Country/TerritoryJapan
CityKobe
Period28/05/1831/05/18

Keywords

  • DP-TBD
  • Moving sonar
  • Reverberation suppressing
  • STAP
  • Weak target detection

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