Matrix computations (3rd ed.)
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
A new ML based interference cancellation technique for layered space-time codes
IEEE Transactions on Communications
A quasi-orthogonal group space-time architecture to achieve a better diversity-multiplexing tradeoff
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Combined array processing and space-time coding
IEEE Transactions on Information Theory
Algebraic properties of space-time block codes in intersymbol interference multiple-access channels
IEEE Transactions on Information Theory
Space-time block coding for wireless communications: performance results
IEEE Journal on Selected Areas in Communications
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This paper investigates the detecting algorithm for MIMO system, in which the Multi-layered orthogonal space-time block code (OSTBC) is employed to transmit the data symbols. First, the matched filter design problem based on maximizing the SINR of each layer is investigated, which is characterized as a generalized eigen-value problem that can be efficiently solved by the Generalized Rayleigh-Quotient (R-Q) Theorem. Then a new efficient space time detecting algorithm is proposed for Multi-layered OSTBC with this R-Q matched filter, in which first a linear recombination strategy is applied on the received signal to construct a high-dimensional equivalent channel derived from the OSTBC encoding pattern, as a joint characterization of channel fading and OSTBC encoding. Then using the high-dimensional equivalent channel matrix, a group of R-Q matched filters are designed to effectively extract the receive signal of the desired layer and suppress the interference from other layers. Finally, linear decoding is used to detect the transmitted symbols by exploiting the OSTBC-induced structure in the equivalent channel matrix of each layer after interference cancellation. Furthermore, the proposed algorithm in presence of the channel estimation error is also analyzed. Theory analysis and simulation results reveal that the proposed algorithm has the benefits of good robustness, better BER and capacity characteristics.