Improving test efficiency based on sparse sampling and reconstruction for target's radar cross section

Ziran Wei; Wei Du; Lewu Deng; Ting Zhang

doi:10.1117/12.2668499

20 April 2023 Improving test efficiency based on sparse sampling and reconstruction for target's radar cross section

Ziran Wei, Wei Du, Lewu Deng, Ting Zhang

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126020J (2023) https://doi.org/10.1117/12.2668499
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

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.

Citation Download Citation

Ziran Wei, Wei Du, Lewu Deng, and Ting Zhang "Improving test efficiency based on sparse sampling and reconstruction for target's radar cross section", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126020J (20 April 2023); https://doi.org/10.1117/12.2668499

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