DocumentCode
1965028
Title
Compressive sensing for dynamic spectrum access networks: Techniques and tradeoffs
Author
Laska, J.N. ; Bradley, W.F. ; Rondeau, T.W. ; Nolan, K.E. ; Vigoda, B.
Author_Institution
Dept. Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
fYear
2011
fDate
3-6 May 2011
Firstpage
156
Lastpage
163
Abstract
We explore the practical costs and benefits of CS for dynamic spectrum access (DSA) networks. Firstly, we review several fast and practical techniques for energy detection without full reconstruction and provide theoretical guarantees. We also define practical metrics to measure the performance of these techniques. Secondly, we perform comprehensive experiments comparing the techniques on real signals captured over the air. Our results show that we can significantly compressively acquire the signal while still accurately determining spectral occupancy.
Keywords
signal detection; CS; DSA networks; compressive sensing; dynamic spectrum access networks; energy detection; spectral occupancy; Bandwidth; Compressed sensing; Discrete Fourier transforms; Indexes; Noise; Sensors; Spectrogram; compressive sensing; dynamic spectrum access; signal detection; spectrum sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2011 IEEE Symposium on
Conference_Location
Aachen
Print_ISBN
978-1-4577-0177-1
Electronic_ISBN
978-1-4577-0176-4
Type
conf
DOI
10.1109/DYSPAN.2011.5936202
Filename
5936202
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