NDLI: Mixed-signal parallel compressed sensing and reception for cognitive radio

Content Provider	IEEE Xplore Digital Library
Author	Zhuizhuan Yu Hoyos, S. Sadler, B.M.
Copyright Year	2008
Description	Author affiliation: ECE Dept., Texas A&M Univ., College Station, TX (Zhuizhuan Yu; Hoyos, S.)
Abstract	A parallel structure to do spectrum sensing in cognitive radio (CR) at sub-Nyquist rate is proposed. The structure is based on compressed sensing (CS) that exploits the sparsity of frequency utilization. Specifically, the received analog signal is segmented or time-windowed and CS is applied to each segment independently using an analog implementation of the inner product, then all the samples are processed together to reconstruct the signal. Applying the CS framework to the analog signal directly relaxes the requirements in wideband RF receiver front-ends. Moreover, the parallel structure provides a design flexibility and scalability on the sensing rate and system complexity. This paper also provides a joint reconstruction algorithm that optimally detects the information symbols from the sub-Nyquist analog projection coefficients. Simulations showing the efficiency of the proposed approach are also presented.
Starting Page	3861
Ending Page	3864
File Size	220647
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4518496
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Compressed sensing Cognitive radio Chromium Wideband Signal processing Radio frequency Matching pursuit algorithms Reconstruction algorithms Bandwidth Band pass filters sub-Nyquist spectrum sensing segmented compressed sensing parallel
Content Type	Text
Resource Type	Article

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