Abstract: The Mallat tower decomposing algorithm is used to extract the feature from the High Range Resolution Profile. Two feature evaluation criteria, namely, maximum correlation coefficients criterion and Kullback-Leibler distance criterion, are used to evaluate the classification performance of coarse components and detail components of wavelet decomposing results. Simulation results based on the measured data show that the coarse components are better than the detail component in classification performance.

Key words: radar high range resolution profile, Mallat tower decomposing algorithm, K-L distance, correlation matching algorithm, support vector machine