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Compressive Sensing for Pulse Position Modulated UWB Signal

  • D. Abhilash
  • Akshaya Sankar
  • S. Janakiraman
  • G. Ravi Kiran
  • Roshni Kaur Sudan
  • V. Mekaladevi
Part of the Communications in Computer and Information Science book series (CCIS, volume 296)

Abstract

A band-limited signal must be uniformly sampled at lea st twice its bandwidth to guarantee reconstruction at the receiver’s end according to Shannon/Nyquist theorem. Compressive sensing suggests that sparsity helps representing the signal in much lesser dimensions. Analog-to-information convertor utilizes this sparsity in order to sample signals at information rate that enhances the efficiency of ADC which otherwise has to sample at very high rates for wideband signals. In this paper, we explore the combination of Compressive Sensing with M-ary PPM Ultra Wideband modulation scheme. The signals are detected without having to estimate the channel. Orthogonal matching pursuit is used as the reconstruction algorithm for the recovery of sparse signal from its compressed measurements.

Keywords

Analog to information converter Compressive sensing Orthogonal matching pursuit Pulse-position modulation 

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References

  1. 1.
    Donoho, D.L.: Compressed sensing. IEEE Transactions on Information Theory 52(4) (2006)Google Scholar
  2. 2.
    Laska, J., Kirolos, S., Massoud, Y., Baraniuk, R., Gilbert, A., Iwen, M., Strauss, M.: Random sampling for analog-to-information conversion of wideband signals. In: IEEE Dallas/CAS Workshop, pp. 119–122 (2006)Google Scholar
  3. 3.
    Boggess, B.S.: Compressive Sensing Using Random Demodulation. Master’s Thesis, University of Tennessee (2009)Google Scholar
  4. 4.
    Tropp, J., Gilbert, A.: Signal recovery from random measurements via orthogonal matching pursuit. IEEE Transactions on Information Theory 53(12), 4655–4666 (2007)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Wentzloff, D.D.: Pulse-Based Ultra- Wideband Transmitters for digital communication. Ph.D Thesis, Massachusetts Institute of Technology (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • D. Abhilash
    • 1
  • Akshaya Sankar
    • 1
  • S. Janakiraman
    • 1
  • G. Ravi Kiran
    • 1
  • Roshni Kaur Sudan
    • 1
  • V. Mekaladevi
    • 1
  1. 1.Amrita School of EngineeringCoimbatoreIndia

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