Abstract | ||
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A least-squares based channel estimation algorithm is proposed for relay-assisted wireless multiple-input multiple-output (MIMO) channels. The method consists of a sequence of LS-problems with the purpose to arrive to a computationally efficient solution. The performance of the proposed algorithm is evaluated as a function of the input signal-to-noise ratio (SNR) for randomly generated Rayleigh flat fading channels. Finally, we study the effect of the channel estimation error on the performance of a MIMO zero-forcing receiver in order to verify the presented analysis. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/WSA.2008.4475542 | WSA |
Keywords | Field | DocType |
mimo communication,rayleigh channels,channel estimation,least squares approximations,relays,ls-problems,mimo relays,rayleigh flat fading channels,snr,least-squares estimation,signal-to-noise ratio,wireless multiple-input multiple-output channels,zero-forcing receiver,least squares estimation,fading channel,zero forcing,signal to noise ratio,least square | Least squares,Wireless,3G MIMO,Control theory,Computer science,Fading,Signal-to-noise ratio,Communication channel,MIMO,Algorithm,Precoding | Conference |
ISBN | Citations | PageRank |
978-1-4244-1757-5 | 35 | 1.98 |
References | Authors | |
3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lioliou, P. | 1 | 35 | 1.98 |
Mats Viberg | 2 | 1043 | 126.67 |