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ZF/MMSE Equalization×Turbo kódovanie s iteratívnym dekódovaním×
OdborTelekomunikácieTelekomunikácie
RodinaProcess / pipelineProcess / pipeline
Rok vzniku19741993
TvorcaSaleh Mansour and Paul ZervosClaude Berrou, Alain Glavieux, and Punya Thitimajshima
Typlinear equalization algorithmiterative error-correcting code
Pôvodný zdrojProakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill. link ↗Berrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near Shannon limit error-correcting coding and decoding: Turbo-codes. In Proceedings of the IEEE International Conference on Communications (ICC), 1064-1070. DOI ↗
Ďalšie názvychannel equalization, interference cancellationiterative decoding, concatenated codes
Príbuzné55
ZhrnutieZero-Forcing (ZF) and Minimum Mean-Square Error (MMSE) equalization are fundamental linear receiver algorithms for combating intersymbol interference in dispersive channels. Developed in the context of data transmission theory, these methods form the basis of modern channel equalization in wireless and wired systems. While ZF aggressively cancels interference, MMSE balances interference suppression with noise enhancement, making it the optimal linear solution under Gaussian noise.Turbo codes, introduced by Berrou, Glavieux, and Thitimajshima in 1993, are a landmark in channel coding history. They achieve performance within 0.5 dB of the Shannon limit—the theoretical boundary for reliable communication—a feat previously thought impossible with practical complexity. Turbo codes use concatenated convolutional codes with an interleaver and iterative decoding via belief propagation. They were adopted in 3G (UMTS) and remain important in 4G/5G systems alongside LDPC codes.
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ScholarGatePorovnať metódy: ZF/MMSE Equalization · Turbo Code. Získané 2026-06-15 z https://scholargate.app/sk/compare