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Compressed Sensing and its Applications in UWB Communication Systems

Ultra-wideband (UWB) communication systems can be used as overlay over existing systems due to their large absolute bandwidth and low power spectral density. But realization of UWB systems has been obstructed due to present state of art of A/D converters that are not able to meet the high sampling rate requirement of UWB systems. Compressed sensing appears to be a natural solution to develop systems with sub-Nyquist sampling. In this paper, a short survey of compressed sensing and its application to UWB communication systems is presented. The original formulation of the compressed sensing problem is formulated, and UWB paradigm is discussed. A compressed sensing based signal detector is studied along with a its application to maximum likelihood (ML) channel estimation under a common systemic framework. A channel precoding based compressive measurement scheme is also presented which significantly reduces the receiver side processing. Results pertaining to system performance are also presented. This paper explores the application of the emerging field of compressive sensing in UWB systems.