Algorithm and Structure to Cancel Signal Distortion in ATSC Digital TV System (original) (raw)

Abstract

In this paper we propose the 8 VSB (8 Vestigial Side Band) method which is decided as the standard of modulators for next generation digital TV System. In developing digital TV System, one of the difficult problems is how digital signal can be transmitted to the receiver without any phase & amplitude distortion. But, phase & amplitude error is liable to occur by imperfect design, circumstance variation and device degradation. These characteristics result in distortion of I, Q signal of modulator and interference in adjacent channels. In particular, the interference in modulator with a high power amplifier results in serious problems in adjacent channels. Here we analyzed problems of phase & amplitude error which are occurred when 8 levels digital signals are modulated to IF signal. And we suggested phase & amplitude error compensation algorithm and discussed the results for adaptation of the algorithm. This paper is directed to a phase and amplitude compensation apparatus and method for a digital modulator. An object of the paper is to maintain the optimum operating state of the modulator, preferably, provided in a digital television repeater.

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References

  1. ATSC Standard A/53. ATSC Digital Television Standard, Advanced Television Systems Committee, Washington, D.C (1995)
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  2. ATSC Standard A/54, Guide to the Use of the ATSC Digital Television Standard, Advanced Television Systems Committee, Washington, D.C (1995)
    Google Scholar
  3. ATSC Standard A/64, Transmission Measurement & Compliance for Digital Television, Advanced Television Systems Committee, Washington, D.C (1997)
    Google Scholar
  4. International Standard, Information Technology – Generic coding of moving pictures and associated audio information Systems, ISO/IEC 13818-1, 04,15 (1996)
    Google Scholar
  5. Citta, R.W., Eilers, C.G.: Co-channel Interference Reduction System For Digital High Definition Television. United States Patent 5086340, Zenith Electronics Corporation, February 4 (1992)
    Google Scholar
  6. Ziemer, R.E., Tranter, W.H.: Principles of Communications Systems, Modulation, and Noise. Houghton Mifflin Company, Boston (1990)
    Google Scholar

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Authors and Affiliations

  1. Research & Technology Headquarters of LS Cable, Korea
    Hyung Joon Jeon
  2. Div. of Information and Comm. Eng., University of Uiduk, Korea
    lnn Yeal Oh

Authors

  1. Hyung Joon Jeon
  2. lnn Yeal Oh

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada
    Marina L. Gavrilova
  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy
    Osvaldo Gervasi
  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA
    Vipin Kumar
  4. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK
    C. J. Kenneth Tan
  5. Clayton School of IT, Monash University, 3800, Clayton, Australia
    David Taniar
  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy
    Antonio Laganá
  7. School of Computing, Soongsil University, Seoul, Korea
    Youngsong Mun
  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea
    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Jeon, H.J., Oh, l.Y. (2006). Algorithm and Structure to Cancel Signal Distortion in ATSC Digital TV System. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588\_106

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