Practical implementation of compressive sensing to UWB signals

Compressive sensing (CS) is proposed by many researchers as a solution to the formidable sampling requirements of the promising Ultra wideband technology (UWB). Previous research was evaluated by simulating the IEEE UWB channel model. This paper studies the behavior of compressive sensing for practical UWB signals and proposes approaches to enhance the signal reconstruction performance. Four practically-based dictionaries are proposed to increase the sparsity of the realistic UWB signals. Those dictionaries accounts for the practical effects of the channel like pulse dispersion and the unavoidable effects of the antenna directivity. Both measured data and a more practical directional model are used for evaluation. It is shown that CS based on the new dictionaries is able to reconstruct the practical UWB signals more efficiently with reasonable complexity.