• 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