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

Housseyn Sedra, Slobodan Simić, Bojan Milanović, Dimitrije Bujaković and Milenko Andrić

Journal of Electromagnetic Waves and Applications, 2019, vol. 33, issue 15, 2068-2080

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.

Date: 2019
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DOI: 10.1080/09205071.2019.1656112

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