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Micro-motion feature extraction of target in inverse synthetic aperture radar imaging with sparse aperture

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  • Ying Luo
  • Qun Zhang
  • Chengwei Qiu
  • Tat Soon Yeo

Abstract

Micro-motion features are very useful for target recognition in inverse synthetic aperture radar (ISAR). In this paper, we propose an effective algorithm for micro-motion feature extraction in ISAR imaging with sparse aperture. The micro-Doppler effect induced by rotational micro-motion in ISAR with sparse aperture is analysed first, and then an improved four-parameter Hough transform and an Orthogonal matching pursuit decomposition method are proposed to extract the micro-motion parameters, such as rotation rate and radius. Simulations are given to demonstrate the effectiveness of the proposed algorithm.

Suggested Citation

  • Ying Luo & Qun Zhang & Chengwei Qiu & Tat Soon Yeo, 2013. "Micro-motion feature extraction of target in inverse synthetic aperture radar imaging with sparse aperture," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 27(14), pages 1841-1849, September.
    • Handle: RePEc:taf:tewaxx:v:27:y:2013:i:14:p:1841-1849
    DOI: 10.1080/09205071.2013.825890
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