Applying image processing technique to radar target tracking problems

Kuen Cheng Wang, Yi Nung Chung, Chao Hsing Hsu, Tsair Rong Chen

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Data association plays an important role in a radar multiple-target tracking (MTT) system. An approach for data association using image information is investigated in this paper. An algorithm applying the Competitive Hopfield Neural Network (CHNN) is developed to match between radar measurements and existing target tracks. If target maneuvering situations are occurred, an adaptive maneuvering estimator denoted dynamic multiple-model estimator is applied to solve the estimation problems. According to the simulation results, this algorithm can solve the multiple-target tracking problems successfully.

Original languageEnglish
Pages (from-to)1805-1810
Number of pages6
JournalICIC Express Letters
Volume4
Issue number5 B
Publication statusPublished - 2010 Oct 1

Fingerprint

Target tracking
Radar
Image processing
Hopfield neural networks
Radar measurement

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Wang, Kuen Cheng ; Chung, Yi Nung ; Hsu, Chao Hsing ; Chen, Tsair Rong. / Applying image processing technique to radar target tracking problems. In: ICIC Express Letters. 2010 ; Vol. 4, No. 5 B. pp. 1805-1810.
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Applying image processing technique to radar target tracking problems. / Wang, Kuen Cheng; Chung, Yi Nung; Hsu, Chao Hsing; Chen, Tsair Rong.

In: ICIC Express Letters, Vol. 4, No. 5 B, 01.10.2010, p. 1805-1810.

Research output: Contribution to journalArticle

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