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An AI approach for tracking target with severe Doppler ambiguity in HFSWR: AI tracking target with Doppler ambiguity

  • School of Electronics and Information Engineering, Harbin Institute of Technology

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

Abstract

When high frequency surface wave radar (HFSWR) detects high-speed moving targets, Doppler ambiguity issue often occurs. At this time, the detection and tracking of targets becomes a challenging problem. How to find the ambiguous target in the clutter accurately and implement effective tracking is the key to improve capabilities of HFSWR. Using deep learning for tracking could solve the problem of Doppler Ambiguity, and also has important theoretical value for echo processing of near and long-range simultaneous detection for HFSWR.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Digital Image Processing, ICDIP 2023
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400708237
DOIs
StatePublished - 19 May 2023
Externally publishedYes
Event15th International Conference on Digital Image Processing, ICDIP 2023 - Nanjing, China
Duration: 19 May 202322 May 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference15th International Conference on Digital Image Processing, ICDIP 2023
Country/TerritoryChina
CityNanjing
Period19/05/2322/05/23

Keywords

  • Doppler ambiguity
  • deep learning
  • high frequency surface wave radar
  • target tracking

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