A newscheme for radar target discrimination is proposed in this paper. The natural frequencies of probable targets in a large signal-to-noise ratio (SNR) environment are extracted beforehand and stored. The response of an unknown target in low SNR environment is reconstructed using the stored natural frequencies of a particular target, and the coincidence of an unknown target and the particular target is checked by comparing the response of an unknown target with the reconstructed response. A correlation factor is defined to quantify the similarity between two responses. This method is applied to wire targets, and the validity of the method is shown using simulation results.
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LEE et al. (2005) studied this question.
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