• DocumentCode
    831463
  • Title

    Estimating symbol error rate vs. carrier to noise in IQ modulated systems based on digitization of constellation and statistical models

  • Author

    Klein, Matt

  • Author_Institution
    Hewlett-Packard Co., Palo Alto, CA, USA
  • Volume
    38
  • Issue
    4
  • fYear
    1992
  • fDate
    12/1/1992 12:00:00 AM
  • Firstpage
    229
  • Lastpage
    236
  • Abstract
    Methods used to characterize the degradation of symbol error rate (SER) vs. carrier-to-noise ratio (C/N) performance of several different components of systems that broadcast digital video signals are presented. The techniques are based on repetitively sampling and then digitizing the IQ constellation at baseband. Mathematically different levels of noise calculated relative to the carrier are added to the digitized constellation. Examination of the resulting distributions of noise versus error thresholds allows the estimation of SER vs. C/N in the absence of any error correction in the receiver. The effects of IF bandwidth and transmit and receive filters are also taken into account. The estimated SER vs. C/N can be plotted and compared to the theoretical SER vs. C/N for the modulation format, IF bandwidth, and transmit and receive filters in the system under test
  • Keywords
    amplitude modulation; digital signals; error statistics; television broadcasting; video signals; C/N; IF bandwidth; IQ modulated systems; QAM; SER; TV broadcasting; carrier-to-noise ratio; digital video signals; digitized constellation; error thresholds; modulation format; noise distribution; noise levels; receive filters; sampling; statistical models; symbol error rate; system under test; transmit filters; Bandwidth; Baseband; Degradation; Digital video broadcasting; Error analysis; Error correction; Filters; Modulation; Noise level; Sampling methods;
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/11.184725
  • Filename
    184725