方法对比

	ZF/MMSE Equalization	多输入多输出 (MIMO)
领域	电信	电信
方法族	Process / pipeline	Process / pipeline
起源年份	1974	1995
提出者	Saleh Mansour and Paul Zervos	Telatar, Foschini, and Gans
类型	linear equalization algorithm	spatial multiplexing technique
开创性文献	Proakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill.	Telatar, I. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585-595.
别名	channel equalization, interference cancellation	spatial multiplexing, antenna diversity
相关	5	5
摘要	Zero-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.