Frequency-diversity RCS based target recognition with ICA projection

C. W. Huang, K. C. Lee

研究成果: Article同行評審

10 引文 斯高帕斯(Scopus)

摘要

In this paper, a frequency-diversity radar cross section (RCS) based target recognition scheme with independent component analysis (ICA) projection is proposed. The goal is to identify the similarity between the unknown and known targets through collected frequency-diversity RCS. Note that the unknown target means the test target and that known targets mean previously seen targets in a database. To enhance the recognition ability, frequency-diversity RCS data are projected into the ICA space, and the recognition is performed using features of ICA space. The ability to tolerate noise effects for proposed recognition scheme is also investigated. The frequency-diversity technique can greatly reduce the efforts of collecting RCS because only a small number of measuring locations are required to achieve accurate recognition. With the use of ICA projection, the recognition scheme will have good abilities in both discriminating targets and tolerating noise effects.

原文English
頁(從 - 到)2547-2559
頁數13
期刊Journal of Electromagnetic Waves and Applications
24
發行號17-18
DOIs
出版狀態Published - 2010 十二月 1

All Science Journal Classification (ASJC) codes

  • 電子、光磁材料
  • 物理與天文學 (全部)
  • 電氣與電子工程

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