128

In this work, an error-correcting Hamming code has been investigated and
modeled to provide an increase in noise immunity in a digital television system of the DVB-T2
standard. Analyzed and investigated theoretically, practically the algorithm of functioning of the
Hamming noise-correcting codec. An error-correcting Hamming code in a DVB-T2 standard digital
television system with a developed interactive computer simulation program in the
Matlab/Simulink programming language, the dependence of the number of errors on the error
probability for an error-correcting Hamming code, has been modeled and investigated.
 

  • Web Address
  • DOI
  • Date of creation in the UzSCI system 25-04-2023
  • Read count 128
  • Date of publication 20-04-2023
  • Main LanguageIngliz
  • Pages133-144
English

In this work, an error-correcting Hamming code has been investigated and
modeled to provide an increase in noise immunity in a digital television system of the DVB-T2
standard. Analyzed and investigated theoretically, practically the algorithm of functioning of the
Hamming noise-correcting codec. An error-correcting Hamming code in a DVB-T2 standard digital
television system with a developed interactive computer simulation program in the
Matlab/Simulink programming language, the dependence of the number of errors on the error
probability for an error-correcting Hamming code, has been modeled and investigated.
 

Author name position Name of organisation
1 Jabborov A.B. researcher TSTU
2 Yarmukhamedov A.A. teacher TSTU
Name of reference
1 A.M. Golikov. Modulation, coding and modeling in telecommunication systems. Theory and practice: “Textbook: Tomsk. State un-t control systems and radioelectronics”, 2016. 516.
2 A.I. Odinets., A.N. Burdin. Fundamentals of digital television DVB-T: Educational electronic edition of local distribution. “Omsk publishing house”, 2012. 76.
3 M. Werner. “Fundamentals of Coding (World of Programming)”, 2004.
4 R.M. Zaragoza. “The art of error-correcting coding (World of Communications)”, 2006
5 J. Prokis. “Digital communication: textbook”, 2000.
6 V.P. Dyakonov. Complete tutorial. “DMK Press”, 2012. 768.
7 Choice of the optimal signal modulation method in modern digital radio communication systems. “Moscow State University. M.V. Lomonosov”, 2008.
8 G.V. Mamchev. “Theory and practice of terrestrial digital television broadcasting”, 2010. 340.
9 I.V. Shakhnovich. Modern technologies of wireless communication. “Technosphere”, 2006. 288.
10 B. Sklyar. Digital communication. Theoretical foundations and practical application. “House Williams”, 2007. 1104.
11 IEEE. 1159-2009 standard. Recommended IEEE practice for monitoring the quality of electricity. “American national institute of standards”, 2009. 91
12 High-performance analyzer PM180. EN 50160:2010/IEC 61000-4-30. EN 50160:2010 Electricity quality Recorder. “European Standards Institute”, 2010. 37.
13 A.A. Yarmukhamedov., A.B. Jabborov. Investigation of characteristics of quadrative - amplitude modulation affecting interference-resistant reception. “Journal of applied research”, 2017.
14 S. Dadras., Kh.R. Momeni. Control uncertain Genesio–Tesi chaotic system: Adaptive sliding mode approach. “Chaos, solitons and fractals”, 2009. 3140.
15 J. Fiedler. Hamming Codes. Available from: www.orion.math.iastate.edu/linglong/ Math690F04/Hamming codes.pdf. 2004
16 Z. Sim., R. Reine., Z. Zang., L. Gopal. PAPR and BER reduction in MU-MIMO-OFDM systems via a set of waveforms. “IEEE International Conference on Signal and Image Processing Applications (ICSIPA 2017)”, 2017. 55.
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