On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Robust downlink power control in wireless cellular systems
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Closed-form blind MIMO channel estimation for orthogonal space-time block codes
IEEE Transactions on Signal Processing
Efficient detection algorithms for MIMO channels: a geometrical approach to approximate ML detection
IEEE Transactions on Signal Processing
Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals
IEEE Transactions on Signal Processing
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
From theory to practice: an overview of MIMO space-time coded wireless systems
IEEE Journal on Selected Areas in Communications
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Capacity of wireless communication systems can be increased enormously using an array of antenna in transmitter and receiver. In such systems called MIMO, detection of transmitted symbols is based on the perfect channel knowledge in the receiver. If the channel information estimated erroneously in the receiver, the performance of the signal detectors will be degraded and therefore the symbol error rate will be increased. In this paper we proposed a robust detection method to improve the performance of maximum likelihood (ML) detection algorithm in MIMO systems when the channel information estimated erroneously in the receiver. In our method, the ML algorithm is modified analytically to make it robust against channel estimation error with no computational complexity added to the detector.