The Experimental Method of Sparse Measurement Based on Target’s Radar Cross Section Data

Abstract

In experiments of testing targets’ radar cross section (RCS), RCS is a measure of the target’s ability to reflect radar signals in the direction of radar reception. In order to take non blurry spatial-domain imaging of the target, sampling or measuring the target’s RCS signal must meet the Nyquist sampling theorem. However, RCS testing in microwave darkroom would produce a significant amount of sampling data, which requires a very long testing period. Based on the sparsity of spatial-domain RCS data after sparsifying transformation, a sparse projection measurement experimental method is designed for frequency-domain RCS data by sparsely sampling frequency-domain signals, fully utilizing the correlation between row and column information of two-dimensional frequency-domain data and the global sparsity of two-dimensional spatial-domain data. Finally, based on sparsely sampled data in the frequency-domain, the original RCS data is reconstructed by reconstruction algorithms, achieving the goal of effectively reducing RCS sampling data in RCS testing experiments.