Abstract
In this paper, multi-frequency target radar cross section (RCS) of high frequency surface wave radar (HFSWR) is used for airplane target identification. Radar working frequency optimization selection is investigated for an optimization selection method based on the minimum classification error (MCE) rule in order to improve airplane target identification performance; Target RCS is compensated with the consideration of the influence of ground wave propagation attenuation and ocean wave additional loss. By using this method, identification results of ten types of airplane targets are given with different working frequency numbers in different signal to noise ratio (SNR). Simulations indicate that identification performance of frequency optimization is improved remarkably compared with the performance of random frequency selection, and the reliable airplane target identification using this method can be realized at lower SNR with fewer working frequency numbers
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