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Partial angular-diversity RCS-based target recognition using subsequence dynamic time-warping

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  • Housseyn Sedra
  • Slobodan Simić
  • Bojan Milanović
  • Dimitrije Bujaković
  • Milenko Andrić

Abstract

In this paper, angular-diversity Radar Cross Section (RCS) based target recognition using Subsequence Dynamic Time-Warping (S-DTW) algorithm is proposed. The goal is to identify the similarity between an RCS segment of unknown and full RCS pattern of known targets through collected partial angular-diversity RCS. The unknown target is the test target, while the known targets are previously seen targets in a database. The partial angular-diversity technique can greatly reduce the efforts of collecting RCS because only a small number of measuring locations are required to achieve accurate recognition. The ability to determinate scattered angle is also investigated. Our simulation shows that using S-DTW algorithm the recognition scheme will have good abilities in both discriminating targets and angle determination. This approach provides good trade-off between data collection complexity and quality of target classification.

Suggested Citation

  • Housseyn Sedra & Slobodan Simić & Bojan Milanović & Dimitrije Bujaković & Milenko Andrić, 2019. "Partial angular-diversity RCS-based target recognition using subsequence dynamic time-warping," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 33(15), pages 2068-2080, October.
    • Handle: RePEc:taf:tewaxx:v:33:y:2019:i:15:p:2068-2080
    DOI: 10.1080/09205071.2019.1656112
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