首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Modified Adaptive Chirplet Decomposition with Application in ISAR Imaging of Maneuvering Targets
  • 本地全文:下载
  • 作者:Yong Wang ; Yi-Cheng Jiang
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2008
  • 卷号:2008
  • DOI:10.1155/2008/456598
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    The modified adaptive Chirplet decomposition (MACD) is presented in this paper. It is based on the extension of the traditional Chirplet atoms to the form of the quadratic frequency-modulated signals. The accuracy of the signal decomposition is improved compared with the traditional Chirplet decomposition. A practical algorithm for the parameters estimation of monocomponent MACD atom and the decomposition method based on the CLEAN technique to the multicomponent signals are proposed. Finally, this algorithm is used in the ISAR imaging of maneuvering targets, and the quality of ISAR images improves greatly. The results of real data and simulated data demonstrate the validity of the method proposed.

国家哲学社会科学文献中心版权所有