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We develop a K-SVD algorithm based radar HRRP target recognition method, which can adaptively select the sparse decomposition coefficient based on test noise environment. Experimental results on measured data show our method obtains a better performance than PCA based method.
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Feng et al. (2011) studied this question.
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