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International Journal of Digital Multimedia Broadcasting
Volume 2010 (2010), Article ID 730509, 10 pages
Research Article

Mixed-Signal Parallel Compressive Spectrum Sensing for Cognitive Radios

1Department of Electrical and Computer Engineering, The Analog and Mixed Signal Center (AMSC), Texas A&M University, College Station, TX 77843-3128, USA
2Army Research Laboratory, AMSRD-ARL-CI-CN, Adelphi, MD 20783, USA

Received 2 December 2009; Accepted 30 January 2010

Academic Editor: Fred Daneshgaran

Copyright © 2010 Zhuizhuan Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Wideband spectrum sensing for cognitive radios requires very demanding analog-to-digital conversion (ADC) speed and dynamic range. In this paper, a mixed-signal parallel compressive sensing architecture is developed to realize wideband spectrum sensing for cognitive radios at sub-Nqyuist rates by exploiting the sparsity in current frequency usage. Overlapping windowed integrators are used for analog basis expansion, that provides flexible filter nulls for clock leakage spur rejection. A low-speed experimental system, built with off-the-shelf components, is presented. The impact of circuit nonidealities is considered in detail, providing insight for a future integrated circuit implementation.