Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Modified Adaptive Chirplet Decomposition with Application in ISAR Imaging of Maneuvering Targets | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 456598 8 pages doi 2008 456598 Research Article Modified Adaptive Chirplet Decomposition with Application in ISAR Imaging of Maneuvering Targets Yong Wang and Yi-Cheng Jiang Research Institute of Electronic Engineering Technology Harbin Institute of Technology Harbin 150001 China Correspondence should be addressed to Yong Wang wangyong6012@ Received 21 February 2008 Revised 21 July 2008 Accepted 20 October 2008 Recommended by Sharon Gannot 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 2008 Y. Wang and . Jiang. 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. 1. INTRODUCTION In the inverse synthetic aperture radar ISAR imaging of maneuvering targets the received signals can be considered as multicomponent polynomial phase signals after motion compensation. The parameters of each component should be estimated accurately in order to obtain the high-quality range-instantaneous-Doppler images of the target 1 . For the parameters estimation of multicomponent signals many methods have been proposed in the past decades such as the joint
