• DocumentCode
    1219260
  • Title

    Error Rate for Peak-Limited Coherent Binary Channels

  • Author

    Aein, Joseph M.

  • Author_Institution
    Institute for Defense Analyses, Arlington, VA, USA
  • Volume
    16
  • Issue
    1
  • fYear
    1968
  • fDate
    2/1/1968 12:00:00 AM
  • Firstpage
    35
  • Lastpage
    44
  • Abstract
    An exponential-type bound on error rate Pefor peaklimited binary coherent channels operated at low signal-to-noise ratio (SNR) is presented. The bound depends exponentially only on the first and second moments of the channel output and serves to justify, in part, the use of SNR calculations for error-rate performance. It is assumed that the receiver output V is given by a simple sum of n( = [TW]) identically distributed, independent random variables wi, each of which is decomposable into the sum of two independent random variables ziand ηi, i.e., w_{i} = z_{i}+\\eta_{i} . The ziare peak limited by B_{z},|z_{i}| \\leq B_{z} , whereas ηiare normal ( 0, \\sigma ^{2} ). The zirepresent the output of a peak-limited channel and the ηirepresent any post channel receiver thermal noise (which may be zero, \\sigma ^{2} = 0 ). For example, the zimay represent the output of a bandpass-limited satellite repeater, with an interference input in addition to the desired signal, and ηithe front-end noise in a receiving ground station. No assumption as to the channel-limiting characteristic or interference model, other than stated above, is made. Defining α as the ratio [Ew]^{2}/var w (i.e., twice the receiver input average SNR) and β as the ratio B_{z}^{2}/var w (i.e., twice the receiver input peak SNR), then for \\alpha < 1 , P_{e} < e^{-n\\mu} \\mu=frac{\\alpha }{2}(1-\\alpha )-frac {\\gamma ^{3}}{6} e^{\\gamma } \\gamma = \\sqrt {\\alpha \\beta } , i. e., twice the geometric mean of average and peak SNR. If all odd moments of z have the same sign then a larger μ is obtained: \\mu=frac{\\alpha }{2}(1-\\alpha )-frac{\\gamma ^{4}}{24}e^{\\gamma ^{2}}/28 Upper bounds on the size of α and β are provided to guarantee - \\mu > 0 . An example of a captured limiter that exhibits SNR suppression effects on the error rate is presented.
  • Keywords
    Communications technology; Error analysis; Filtering theory; Gaussian channels; Information theory; Interference; Random variables; Satellite ground stations; Signal to noise ratio; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Communication Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9332
  • Type

    jour

  • DOI
    10.1109/TCOM.1968.1089812
  • Filename
    1089812