Abstract
In traditional signal processing, signal sampling has to meet the Nyquist sampling theorem, so a extremely huge amount of data has to been processed during the measurement process of testing target’s radar cross section (RCS) in the microwave anechoic chamber. Based on compressed sensing theory, the RCS data of azimuth domain is sparsely sampled by the proposed method at a rate lower than Nyquist’s sampling and then the original data of full sampling amount is reconstructed by the reconstruction algorithm. When the sampling compression rate is more than 30%, the data reconstruction error from the standard target object doesn’t affect the evaluation of the target’s RCS performance. The proposed method of sparse sampling and reconstruction can significantly reduce the amount of measured data in the RCS test of target object, thereby effectively improving the test efficiency and shortening the test period.
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