Mixed-Signal Parallel Compressive Spectrum Sensing for Cognitive Radios | Zendy

Zhuizhuan Yu | Zendy; Xi Chen | Zendy; Sebastián Hoyos | Zendy; Brian M. Sadler | Zendy; Gong Jing-xuan | Zendy; Chengliang Qian | Zendy

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Mixed-Signal Parallel Compressive Spectrum Sensing for Cognitive Radios

Author(s) -

Zhuizhuan Yu,

Xi Chen,

Sebastián Hoyos,

Brian M. Sadler,

Gong Jing-xuan,

Chengliang Qian

Publication year - 2010

Publication title -

international journal of digital multimedia broadcasting

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.164

H-Index - 17

eISSN - 1687-7586

pISSN - 1687-7578

DOI - 10.1155/2010/730509

Subject(s) - computer science , wideband , cognitive radio , compressed sensing , electronic engineering , integrator , signal (programming language) , filter (signal processing) , computer hardware , telecommunications , bandwidth (computing) , wireless , computer vision , programming language , artificial intelligence , engineering

Wideband spectrum sensing for cognitive radiosrequires very demanding analog-to-digital conversion (ADC)speed and dynamic range. In this paper, a mixed-signal parallelcompressive sensing architecture is developed to realize widebandspectrum sensing for cognitive radios at sub-Nqyuist rates byexploiting the sparsity in current frequency usage. Overlappingwindowed integrators are used for analog basis expansion, thatprovides 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 consideredin detail, providing insight for a future integrated circuit implementation

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