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MIMO检测线性算法-ZeroForcing_MMSE

2022-10-19 23:53 作者:乐吧的数学  | 我要投稿

视频在:https://www.bilibili.com/video/BV1M8411e7c4/

Zero Forcing




T%20%3D%20(H%5EH%20H)%5E%7B-1%7D%20H%5EH


那么 Zero Forcing 的检测公式为:

%5Chat%20X%20%3D%20T%20Y



Y%3DHX%2B%20W


代入有:

%5Chat%20X%20%3D%20(H%5EH%20H)%5E%7B-1%7D%20H%5EH%20(HX%20%2B%20W)%20%3D%20X%20%2B%20(H%5EH%20H)%5E%7B-1%7D%20H%5EH%20W


可以看到,来自其他发送天线的干扰被完全剔除了。



MMSE

G%20%3D%20(H%5EH%20H%20%2B%20%5Csigma%5E2%20I)%5E%7B-1%7D%20H%5EH


则:
%5Chat%20X%20%3D%20G%20Y%20%3D%20G%20H%20X%20%2B%20GW%20%3D%20(H%5EH%20H%20%2B%20%5Csigma%5E2%20I)%5E%7B-1%7D%20H%5EH%20HX%20%2B%20(H%5EH%20H%20%2B%20%5Csigma%5E2%20I)%5E%7B-1%7D%20H%5EH%20W


当噪声小的时候,应该类似于 Zero Forcing,当噪声比较大时,接近 Matched Filter.



这里有一个有趣的现象,当噪声比较小的时候,MMSE 还是比 ZF 要好。有人专门对这个现象进行了理论分析,感兴趣的可以去阅读文献:

Y. Jiang, M. K. Varanasi and J. Li, "Performance Analysis of ZF and MMSE Equalizers for MIMO Systems: An In-Depth Study of the High SNR Regime," in IEEE Transactions on Information Theory, vol. 57, no. 4, pp. 2008-2026, April 2011, doi: 10.1109/TIT.2011.2112070.




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