Estimating of geometrical theory of diffraction (GTD) model parameters accurately and efficiently is significant for automatic target recognition.In this paper, a time-domain sparse component analysis method is designed for parameter estimation of GTD model.Firstly, potential locations of scattering centers, as well as columns of the dictionary, are reduced according to the high resolution range profile.Secondly, the time domain responses of GTD model is used to construct the dictionary, and the small amplitude areas are cut off.Compared with the presented method, not only columns of the new dictionary are reduced, but also the dictionary becomes a sparse matrix.As a consequence, it needs less memory to store, which is helpful to decrease computational complexity of component analysis.In addition, a reconstruction method based on the orthogonal matching pursuit is designed for our dictionary.Finally, experimental results demonstrate the performance and efficiency of the proposed method.
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