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

Abstract

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.

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Correspondence to Yong Wang.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Wang, Y., Jiang, YC. Modified Adaptive Chirplet Decomposition with Application in ISAR Imaging of Maneuvering Targets. EURASIP J. Adv. Signal Process. 2008, 456598 (2008). https://doi.org/10.1155/2008/456598

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Keywords

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