Space-Time Block Coding for Wireless Communications
Space-Time Block Coding for Wireless Communications
Modern Wireless Communication
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Channel estimation for space-time orthogonal block codes
IEEE Transactions on Signal Processing
Optimal training design for MIMO OFDM systems in mobile wireless channels
IEEE Transactions on Signal Processing
Multi-input multi-output fading channel tracking and equalizationusing Kalman estimation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Simplified channel estimation for OFDM systems with multiple transmit antennas
IEEE Transactions on Wireless Communications
Low complexity channel estimation for space-time coded wideband OFDM systems
IEEE Transactions on Wireless Communications
Model-based channel estimation framework for MIMO multicarrier communication systems
IEEE Transactions on Wireless Communications
Space-time decoding with imperfect channel estimation
IEEE Transactions on Wireless Communications
Toward real-time adaptive low-rank LMMSE channel estimation of MIMO-OFDM systems
IEEE Transactions on Wireless Communications
Semi-Blind Channel Estimation Using the EM Algorithm in Iterative MIMO APP Detectors
IEEE Transactions on Wireless Communications
Robust and Improved Channel Estimation Algorithm for MIMO-OFDM Systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
IEEE Communications Magazine
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
A space-time coding modem for high-data-rate 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
Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels
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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The combination of Space---Time Coded Multiple Input Multiple Output systems (STC-MIMO) with Orthogonal Frequency Division Multiplexing (OFDM) is recently being investigated as an effective means of providing high-speed data transmission over dispersive wireless channels. The strengths of the two techniques coalesce and render MIMO-OFDM systems robust to ISI and IBI. However, the decoding and demodulation of STC-OFDM needs reliable channel knowledge at the receiver, unless differential modulation techniques are used. Semi-blind methods for channel estimation are seen to provide the best trade-off in terms of bandwidth overhead, computational complexity and latency. The conventional Expectation-Maximization (EM) algorithm for semi-blind channel estimation improves a pilot-based estimate with a two step process; however, it is computationally complex to implement. In this paper, we propose a variant of the EM method, referred to as ML-EM, for semi-blind estimation of doubly dispersive channels in space---time coded MIMO-OFDM systems. Here, the conventional EM algorithm is coupled with the ML decoder for space time block codes (STBCs). The technique shows good performance, even in highly correlated antenna arrays, and is computationally simpler than conventional EM. The method incurs a training overhead of less than 1%, and performs close to exact CSI through iterative processing at the receiver.