Proceedings ArticleDOI
Variable rank receiver structures for low-rank space-time channels
D. Giancola,A. Sanguanini,Umberto Spagnolini +2 more
- Vol. 1, pp 65-69
TLDR
The advantages of a low rank truncation of the whitened channel in a mobile radio scenario where the S-T diversity of the channel is almost limited and the lower complexity compared to a full-rank solution are illustrated.Abstract:
MMLSE is known to be the most suitable approach for space-time (S-T) receivers that requires the knowledge of the S-T channel response. In general we do not have the knowledge neither of the channel H nor of co-channel interference's (CCI) statistics, these have to be estimated by using training sequences. When short data preambles are available the large variance of the unconstrained estimate of the multichannel H can heavily affect the achievable performance. This paper illustrates the advantages of a low rank truncation of the whitened channel in a mobile radio scenario where the S-T diversity of the channel is almost limited. The benefits achievable with this class of low-rank receivers are the reduction the variance of the multichannel response estimate and the lower complexity compared to a full-rank solution. The performances in realistic scenarios demonstrate the advantages compared to conventional receivers.read more
Citations
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Method and apparatus for reduced rank channel estimation in a communications system
TL;DR: In this article, a method and apparatus for estimating a communication channel in a wireless communication system having multiple transmitter antennas using reduced rank estimation is presented, which exploits redundant and/or a priori knowledge within a system to simplify the estimation calculations.
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Reduced-rank channel estimation for time-slotted mobile communication systems
Monica Nicoli,Umberto Spagnolini +1 more
TL;DR: The paper shows that, even for time varying channels, these subspaces can be considered to be slowly varying, and therefore, they can be estimated with increased accuracy by properly exploiting training signals from several blocks.
Journal ArticleDOI
SIMO Channel Estimation Using Space-Time Signal Subspace Projection and Soft Information
Shu Cai,Tad Matsumoto,Kehu Yang +2 more
TL;DR: This paper forms the channel estimation under the space-time signal model for this full-row-rank case, and proposes a new method by space- time signal subspace projection using both training and unknown data sequences to improve the accuracy of the channel estimate.
References
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