Biomimetic Radar Target Recognition Based on Hypersausage Chains
Keywords:
Biomimetic radar target recognition, high resolution range profiles, hypersausage chains, manifoldAbstract
A biomimetic radar target recognition method is proposed in this paper. From a geometrical perspective, the high resolution range profiles of radar targets are considered as points in high-dimensional feature space. Hypersausage chains are used to cognize the low-dimensional manifold embedding in the high-dimensional space. The topological framework construction algorithm for a hypersausage chain is improved and described in detail. A procedure for a reasonable selection of the hypersphere radius is also involved, which guarantees both acceptable generalization capability and excellent rejection capability of the classifier. The performance of proposed method is compared with the commonly used support vector machine (SVM) method with a radial basis function kernel or a polynomial kernel. Simulation results show that our proposed method outperforms the SVM methods in anti-noise capability, generalization capability and especially rejection capability.
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