• DocumentCode
    2421288
  • Title

    A Method for Emphasizing Signal Detection in Wireless Sensor Network Radio Frequency Array Operation

  • Author

    Lintz, W.A. ; McEachen, John C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA
  • fYear
    2009
  • fDate
    5-8 Jan. 2009
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    We present the design of a randomly distributed radio frequency signal detection and reception array constructed of wireless sensor network nodes. The design stresses initial signal detection using the wireless network array. All other array operations depend on detecting a signal of interest prior to activating follow-on sequences of signal processing, potentially including emitter geolocation and signal reception/demodulation. Of specific concern for network operations is conservation of energy costs while providing an operable array. Using the Neyman-Pearson criterion, a desired aperture can be determined providing an optimal probability of detection against an acceptable false alarm rate. Control of these parameters will be based on usage of the distributed wireless sensor nodes. The sensor nodes will be segmented into sub-arrays to produce the desired aperture. Upon signal detection, the network may then further optimize the aperture for purposes of increasing signal to noise ratio in signal processing.
  • Keywords
    array signal processing; probability; signal detection; wireless sensor networks; distributed radio frequency signal detection; follow-on sequences; optimal probability; radiofrequency array operation; signal reception-demodulation; signal to noise ratio; wireless sensor network; Apertures; Array signal processing; Demodulation; Radio frequency; Sensor arrays; Signal design; Signal detection; Signal processing; Stress; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on
  • Conference_Location
    Big Island, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-0-7695-3450-3
  • Type

    conf

  • DOI
    10.1109/HICSS.2009.19
  • Filename
    4755824