Title :
Closed-form blind MIMO channel estimation for orthogonal space-time block codes
Author :
ShahbazPanahi, Shahram ; Gershman, Alex B. ; Manton, Jonathan H.
Author_Institution :
Fac. of Eng. & Appl. Sci., Univ. of Ontario Inst. of Technol., Oshawa, Ont., Canada
Abstract :
In this paper, a new computationally simple approach to blind decoding of orthogonal space-time block codes (OSTBCs) is proposed. Using specific properties of OSTBCs, the authors´ approach estimates the channel matrix in a closed form and in a fully blind fashion. This channel estimate is then used in the maximum-likelihood (ML) receiver to decode the information symbols. The proposed estimation technique provides consistent channel estimates, and, as a result, the performance of the authors´ blind ML receiver approaches that of the coherent ML receiver, which exploits the exact channel state information (CSI). Simulation results demonstrate the performance improvements achieved by the proposed blind decoding algorithm relative to the popular differential space-time modulation scheme.
Keywords :
MIMO systems; block codes; channel coding; channel estimation; maximum likelihood decoding; space-time codes; blind decoding algorithm; channel matrix; channel state information; closed-form blind MIMO channel estimation; differential space-time modulation scheme; information symbols; maximum-likelihood receiver; orthogonal space-time block code; Block codes; Channel estimation; Channel state information; Councils; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Signal to noise ratio; State estimation; MIMO channel estimation; space–time block coding;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.859331