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
Link To Document :
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