• DocumentCode
    2579016
  • Title

    Unbiased signal detection scheme for collaborative wireless sensor network using Opt Space

  • Author

    Naeem, Muhammad Kamran ; Patwary, Mohammad ; Abdel-Maguid, Mohamed

  • Author_Institution
    Fac. of Comput., Eng. & Technol., Staffordshire Univ., Stafford, UK
  • fYear
    2011
  • fDate
    26-28 Oct. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Energy constrain within wireless sensor network (WSN) while transmitting wireless signal in response to a detected event has been addressed. Significant amount of power is consumed during wireless transmission data from the sensor node compared to the other relevant processing within the node. It is conventional to transmit training symbols to bias the receiver to detect transmitted signal. In this paper, a new unbiased signal detection scheme has been proposed for WSN with distributed beam-forming as well as collaborative transmission. Recently proposed Opt Space Matrix regularization algorithm has been considered. From the simulation result it is observed that the proposed algorithm is robust and consistent for different values of signal to leakage ratio (SLR). Moreover, it is found that the proposed signal detection scheme outperforms few of the existing algorithms of the similar purpose.
  • Keywords
    array signal processing; matrix algebra; signal detection; wireless sensor networks; OptSpace matrix regularization algorithm; collaborative transmission; collaborative wireless sensor network; distributed beamforming; energy constrain; sensor node; signal to leakage ratio; training symbols; unbiased signal detection scheme; wireless signal; wireless transmission data; Channel estimation; Collaboration; Receivers; Signal detection; Vectors; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Mobile Networking Conference (WMNC), 2011 4th Joint IFIP
  • Conference_Location
    Toulouse
  • Print_ISBN
    978-1-4577-1192-3
  • Electronic_ISBN
    978-1-4577-1191-6
  • Type

    conf

  • DOI
    10.1109/WMNC.2011.6097226
  • Filename
    6097226