基于叠加训练的非合作多用户/MIMO信道估计

doi:10.3969/j.issn.1000-436x.2014.07.018

Abstract

Abstract:

An iterative channel estimation and detection scheme is proposed for single carrier uncoordinated multi-user/multi-input multi-output (MIMO) system using superimposed training (ST). At first, the multiple antennas mutual interferences are eliminated by utilizing training sequences with all-zero cross-correlation property, which are designed based on transform domain approach. The channel estimation is performed based on first-order statistics of the observa-tions in time domain. Then a joint iterative channel estimation and symbol detection method is addressed, where the de-tected sequences are used as additional “training sequence” to reduce the self-interferences from information sequences. Compared to the existing ST schemes, the new proposed scheme has more flexible training sequences, better channel mean square error (NCMSE) and BER performance at low SNR, but retains a lower computation complexity. Simulation results corroborate the effectiveness of the new scheme.

Key words: transform domain sequences, superimposed training, iterative channel estimation and detection, multiple-input multiple-output, frequency selective channel

Chun-quan HE,Gao-qi DOU,Jun GAO,Gao-ming HUANG. Uncoordinated multiuser/MIMO channel estimation using superimposed training[J]. Journal on Communications, 2014, 35(7): 151-156.

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References 11

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信道估计	浮点运算次数		CCRR/%
时域信道估计	RP(TL+1/2)	820	95.12
文献[7]频域信道估计	RTL(N+1/2)+ R²TL²	16 820	95.12
MMSE信道估计	RTLN(2TL+1)+RT²L²	656 800	74.09
文献[7]LS信道估计	R²TL(2RTL+1)(N-L+1)+R²T²L²	2 535 280	74.09

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Uncoordinated multiuser/MIMO channel estimation using superimposed training

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