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Zero-Forcing a Minimum Mean-Square Error Vyrovnání×Ortogonální dělení frekvence (OFDM)×
OborTelekomunikaceTelekomunikace
RodinaProcess / pipelineProcess / pipeline
Rok vzniku19741971
TvůrceSaleh Mansour and Paul ZervosWeinstein and Ebert
Typlinear equalization algorithmmulticarrier modulation scheme
Původní zdrojProakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill. link ↗Weinstein, S. B., & Ebert, P. M. (1971). Data transmission by frequency-division multiplexing using the discrete Fourier transform. IEEE Transactions on Communication Technology, 19(5), 628-634. DOI ↗
Další názvychannel equalization, interference cancellationmulticarrier modulation
Příbuzné55
ShrnutíZero-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.OFDM is a multicarrier modulation technique that divides a wideband channel into many narrowband orthogonal subcarriers. Introduced by Weinstein and Ebert in 1971, it exploits the duality between time and frequency domains to efficiently use spectrum while mitigating intersymbol interference in frequency-selective channels. OFDM is now the standard for high-speed wireless systems including WiFi, cellular LTE, and digital broadcasting.
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ScholarGatePorovnat metody: ZF/MMSE Equalization · OFDM. Získáno 2026-06-15 z https://scholargate.app/cs/compare