ScholarGate
Асистент

Сравнение на методи

Прегледайте избраните методи един до друг; редовете с разлики са откроени.

ZF/MMSE Equalization×Множествен вход, множествен изход (MIMO)×
ОбластТелекомуникацииТелекомуникации
СемействоProcess / pipelineProcess / pipeline
Година на възникване19741995
СъздателSaleh Mansour and Paul ZervosTelatar, Foschini, and Gans
Типlinear equalization algorithmspatial multiplexing technique
Основополагащ източникProakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill. link ↗Telatar, I. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585-595. DOI ↗
Други названияchannel equalization, interference cancellationspatial multiplexing, antenna diversity
Свързани55
РезюмеZero-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.MIMO is a technique that uses multiple transmit and receive antennas to significantly increase channel capacity and reliability. Pioneered theoretically by Telatar (1999) and Foschini & Gans (1998), MIMO exploits multipath propagation—typically a liability in wireless—as an asset by creating independent spatial channels. It is now fundamental to all modern wireless systems including LTE, WiFi-6, and 5G, where it provides both capacity gains through spatial multiplexing and robustness through diversity.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

Към търсенето Изтегляне на слайдове

ScholarGateСравнение на методи: ZF/MMSE Equalization · MIMO. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare