• DocumentCode
    5002
  • Title

    Performance of Monobit Digital Receivers with Inter-Symbol Interference

  • Author

    Guangrong Yue ; Zhiyong Wang ; Huarui Yin

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    3
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb-14
  • Firstpage
    66
  • Lastpage
    69
  • Abstract
    Implementation complexity and power consumption are the two most crucial problems in impulse radio (IR) communications, which is seen as a promising contender for broadband wireless systems. To address such issues, monobit sampling with Nyquist rate was introduced, and the corresponding receiver without inter-symbol interference (ISI) was obtained. In this paper, we consider the case with ISI, especially when the data rate is high, e.g. 100 mega-bits per second (Mbps). For implementation simplicity, the interference from other symbols is approximated as Gaussian noise, and thus the monobit receiver for the ISI case is obtained. To boost receiving performance, high autocorrelation training sequence is employed. The performance loss of the proposed receiver is analyzed, based on the typical Saleh-Valenzuela (S-V) model of indoor channels. The simulation and analysis results show that the proposed monobit receiver has only about 1dB signal-to-noise ratio (SNR) loss compared with the one without ISI, when the data rate is up to 250Mbps.
  • Keywords
    Gaussian noise; indoor radio; intersymbol interference; power consumption; radio receivers; telecommunication channels; ultra wideband communication; Gaussian noise; ISI; Nyquist rate; SNR; Saleh-Valenzuela model; autocorrelation training sequence; bit rate 10 Mbit/s; bit rate 250 Mbit/s; broadband wireless systems; impulse radio communications; indoor channels; inter-symbol interference; monobit digital receivers performance; monobit receiver; monobit sampling; power consumption; signal-to-noise ratio; Bit error rate; Delays; Interference; Receivers; Signal to noise ratio; Training; Wireless communication; Monobit; analog-to-digital conversion; impulse radio; inter-symbol interference; ultra-wideband;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/WCL.2013.111713.130723
  • Filename
    6678063