Title :
Blind MIMO eigenmode transmission based on the algebraic power method
Author :
Dahl, Tobias ; Christophersen, Nils ; Gesbert, David
Author_Institution :
Dept. of Informatics, Univ. of Oslo, Blindern, Norway
Abstract :
Identification of the channel matrix is of main concern in wireless multiple input multiple output (MIMO) systems. To maximize the SNR, the best way to utilize a MIMO system is to communicate on the top singular vectors of the channel matrix. Here, we present a new approach for direct blind identification of the main independent singular modes, without estimating the channel matrix itself. The right and left singular vectors with maximum corresponding singular values are determined using payload data and are continuously updated while at the same time being used for communication. The feasibility of the approach is demonstrated by simulating the performance over a noisy, fading time-varying channel. Mathematically, the technique is related to the iterative numerical Power method for finding eigenvalues of a matrix as well as the "time reversal mirror" technique developed within acoustics.
Keywords :
MIMO systems; eigenvalues and eigenfunctions; fading channels; singular value decomposition; time-varying channels; MIMO eigenmode transmission; SNR; algebraic power method; channel matrix identification; direct blind identification; fading channel; independent singular modes; multiple input multiple output; payload data; signal-to-noise ratio; singular vectors; time reversal mirror technique; time-varying data; Acoustics; Eigenvalues and eigenfunctions; Fading; Iterative methods; MIMO; Matrix decomposition; Payloads; Singular value decomposition; Time-varying channels; Transmitters; Channel identification; MIMO systems; SVD; eigen-modes; singular modes; singular value decomposition;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2004.832000