A Compressed Sensing Formulation based on I/Q-dictionary: Experimental case study at millimeter-wave frequencies

Modern radar systems demand for high data rates to enable high resolution radar imaging. Compressed Sensing (CS) has received great awareness in the last five years, because CS enables a reduction of the sampling frequency by exploiting the sparsity of the acquired signals and thereby allows to minimize the data rates. In this paper, we describe a novel CSformulation, where the dictionary is represented by the signals in-phase (I) and quadrature (Q) components. Experimental measurements from a laboratory stepped frequency radar system at W-band (78 GHz to 102 GHz) have been recorded and processed. Signal reconstruction results are shown for noisy signals as well as for on-grid and off-grid scenarios.