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Zero-Forcing and Minimum Mean-Square Error Equalization

当信号通过色散信道(例如,多径传播)时,接收到的信号是传输信号的模糊、失真版本,来自不同路径的回声会干扰当前符号。一个简单的直接检测接收器会失效。均衡器是放置在接收器处的一个线性滤波器,用于反转信道效应。ZF 简单地应用信道的逆——完美消除,但它会放大弱信道分量上的噪声。MMSE 则更进一步:它不强制将干扰设为零,而是最小化均衡输出与真实传输符号之间的均方误差,如果这样做能显著降低噪声放大,它会允许少量干扰残留。当噪声是高斯噪声时,这种权衡是最优的。

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来源

  1. Proakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill. link
  2. Haykin, S. (2002). Adaptive Filter Theory (4th ed.). Prentice Hall. link

如何引用本页

ScholarGate. (2026, June 3). Zero-Forcing and Minimum Mean-Square Error Equalization. ScholarGate. https://scholargate.app/zh/telecommunications/zf-mmse-equalization

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被引用于

ScholarGateZF/MMSE Equalization (Zero-Forcing and Minimum Mean-Square Error Equalization). 于 2026-06-15 检索自 https://scholargate.app/zh/telecommunications/zf-mmse-equalization · 数据集: https://doi.org/10.5281/zenodo.20539026