Matrix analysis
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Precoded Orthogonal Space–Time Block Codes Over Correlated Ricean MIMO Channels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing - Part I
Complex-Valued Matrix Differentiation: Techniques and Key Results
IEEE Transactions on Signal Processing
Keyholes, correlations, and capacities of multielement transmit and receive antennas
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Square-matrix embeddable space-time block codes for complex signal constellations
IEEE Transactions on Information Theory
Combining beamforming and orthogonal space-time block coding
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Space-time block coding for wireless communications: performance results
IEEE Journal on Selected Areas in Communications
From theory to practice: an overview of MIMO space-time coded wireless systems
IEEE Journal on Selected Areas in Communications
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Analytical expressions for the symbol error rate (SER) of MIMO systems are important from both design and analysis point of views. This paper derives exact and easy to evaluate analytical expression for the SER of an orthogonal space-time block coded (OSTBC) MIMO system with spatially correlated antennas, in which the channel signal propagation suffers from a degenerative effect known as a keyhole. These expressions are valid for complex valued correlations between antenna elements. Numerical results obtained by simulations are presented to confirm the validity of the analytical SER expressions for several multilevel modulation schemes. Subsequently, a procedure for designing a linear precoder which exploits the knowledge of the channel correlation matrix at the transmitter to enhance the performance of the above systemis given. To this end, the exact SER expression is minimized by using a gradient descent algorithm. To demonstrate the performance improvements achievable with the proposed precoder, numerical results obtained in several design examples are presented and compared.