Experimental discrimination of wire stick targets using multiple-frequency amplitude returns

An experimental radar target discrimination algorithm using multiple-frequency scattering amplitude without phase data is investigated. The technique is based on the concept of natural resonance frequencies, which are aspect-independent so that prior information of the aspect angle is not necessary. The radar cross sections of two wire stick models are measured at different aspect angles for distinguishing these two similar targets in the resonance frequency range. By the one-number method, the risk values of different test targets are calculated and compared using the minimum-risk strategy. The results show that the discrimination algorithm works well under experimental conditions if the natural resonance frequencies of different targets are unlike enough. The effect of noise is also investigated