Spectrum sensing and vector signal analysis preprocessing based on compressed sampling

Abstract

This paper investigates the application of a compressed sampling (CS) algorithm as a spectrum sensing and signal analysis preprocessor for vector measurements of digital modulations. Compressed sampling is a paradigm which exploits sparsity, a feature common to several signals of interest, to allow the design of efficient data acquisition schemes. These need to be followed by more complex signal processing algorithms for accurate signal reconstruction.