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

被引：9
|
作者：
Wang, Yong [1 ]
Jiang, Yi-Cheng [1 ]
机构：
[1] Harbin Inst Technol, Res Inst Elect Engn Technol, Harbin 150001, Peoples R China
来源：
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING | 2008年 / 2008卷 / 1期
关键词：
D O I：
10.1155/2008/456598
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
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. Copyright (C) 2008 Y. Wang and Y.-C. Jiang.
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页数：8
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