• DocumentCode
    2814263
  • Title

    A Signal-to-Noise Ratio Enhancer

  • Author

    Lu, Ning H.

  • Author_Institution
    ITT Electron. Syst., Clifton, NJ, USA
  • fYear
    2011
  • fDate
    22-24 Feb. 2011
  • Firstpage
    34
  • Lastpage
    38
  • Abstract
    Many radio applications require a Signal-to-Noise Ratio (SNR) Enhancer to combat the radio channel impairments. In this paper, we are particularly interested in combating the radio channel impairments resulted from long-term and short-term channel variations. The SNR Enhancer pre-conditions the received signal strength (RSS) of the signal such that the SNR of the signal is increased; hence the system performance may be improved. This paper derives the achievable performance of possible approaches, and compares the performance characteristics of the approaches. The results indicate the Maximum RSS approach outperforms the Average RSS approach for the applications intended..
  • Keywords
    wireless channels; RSS approach; SNR enhancer; radio channel impairments; received signal strength; signal-to-noise ratio; Mathematical model; Random variables; Rayleigh channels; Rician channels; Shadow mapping; Signal to noise ratio; Radio Channel Impairments; Received Signal Strength; Signal-to-Noise Ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2011 IEEE
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    978-1-4244-8063-0
  • Type

    conf

  • DOI
    10.1109/SAS.2011.5739765
  • Filename
    5739765