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

摘要

The modified adaptive Chirplet decomposition (MACD) is presented in this paper. It is based on the extension of the traditionalChirplet atoms to the form of the quadratic frequency-modulated signals. The accuracy of the signal decomposition is improvedcompared with the traditional Chirplet decomposition. A practical algorithm for the parameters estimation of monocomponentMACD 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 ofreal data and simulated data demonstrate the validity of the method proposed.