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 Sensor Networks-Inspired Low-Power Robust PN Code Acquisition
Sriram Narayanan, Girish V. Varatkar, Douglas L. Jones, Naresh Shanbhag

Citation
Sriram Narayanan, Girish V. Varatkar, Douglas L. Jones, Naresh Shanbhag. "Sensor Networks-Inspired Low-Power Robust PN Code Acquisition". Proceeding of Asilomar Conference on Signals, Systems, and Computers, IEEE, October, 2007.

Abstract
Algorithmic Noise Tolerance (ANT) techniques have reduced power consumption in many signal-processing applications, but they typically require an error-free estimator block and do not fully exploit the statistical nature of timing errors. By approaching certain computations as estimation problems, we draw inspiration from sensor networks and develop a novel power conservation scheme in which the main computation result is estimated from multiple potentially erroneous sub-computations. The sub-computations are performed by ``sensors'' and a ``fusion center'' acts as a robust estimator. This scheme is shown to offer significant power savings in a PN code acquisition application.

Electronic downloads

Citation formats  

  • HTML
    Sriram Narayanan, Girish V. Varatkar, Douglas L. Jones,
    Naresh Shanbhag. <a
    href="http://www.gigascale.org/pubs/1167.html">Sensor
    Networks-Inspired Low-Power Robust PN Code
    Acquisition</a>, Proceeding of Asilomar Conference on
    Signals, Systems, and Computers, IEEE, October, 2007.
  • Plain text
    Sriram Narayanan, Girish V. Varatkar, Douglas L. Jones,
    Naresh Shanbhag. "Sensor Networks-Inspired Low-Power Robust
    PN Code Acquisition". Proceeding of Asilomar Conference on
    Signals, Systems, and Computers, IEEE, October, 2007.
  • BibTeX
    @inproceedings{NarayananVaratkarJonesShanbhag2007,
        author = {Sriram Narayanan and Girish V. Varatkar and
                  Douglas L. Jones and Naresh Shanbhag},
        title = {Sensor Networks-Inspired Low-Power Robust PN Code
                  Acquisition},
        booktitle = {Proceeding of Asilomar Conference on Signals,
                  Systems, and Computers},
        organization = {IEEE},
        month = {October},
        year = {2007},
        URL = {http://www.gigascale.org/pubs/1167.html}
    }
    

Posted by Sriram Narayanan on 11 Jan 2008..

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