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  • Research Article
  • Open Access

Modified Adaptive Chirplet Decomposition with Application in ISAR Imaging of Maneuvering Targets

EURASIP Journal on Advances in Signal Processing20082008:456598

  • Received: 21 February 2008
  • Accepted: 20 October 2008
  • Published:


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.


  • Parameter Estimation
  • Information Technology
  • Simulated Data
  • Real Data
  • Quantum Information

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Authors’ Affiliations

Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin, 150001, China


© Y.Wang and Y.-C. Jiang. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.