Mixed-Signal Parallel Compressive Spectrum Sensing for Cognitive Radios Academic Article

abstract

• 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.

authors

• Hoyos, Sebastian

published proceedings

• INTERNATIONAL JOURNAL OF DIGITAL MULTIMEDIA BROADCASTING

author list (cited authors)

• Yu, Z., Chen, X. i., Hoyos, S., Sadler, B. M., Gong, J., & Qian, C.

citation count

• 17

complete list of authors

• Yu, Zhuizhuan||Chen, Xi||Hoyos, Sebastian||Sadler, Brian M||Gong, Jingxuan||Qian, Chengliang

publication date

• May 2010

publisher

• Hindawi  Publisher

published in

• International Journal of Digital Multimedia Broadcasting  Journal

keywords

• 40 Engineering
• 4006 Communications Engineering
• 46 Information And Computing Sciences
• 4603 Computer Vision And Multimedia Computation

Digital Object Identifier (DOI)

• 10.1155/2010/730509

start page

• 1

end page

• 10

volume

• 2010

URL

• http%3A%2F%2Fdx.doi.org%2F10.1155%2F2010%2F730509