Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error
IEEE Transactions on Wireless Communications
A Real-Time 4-Stream MIMO-OFDM Transceiver: System Design, FPGA Implementation, and Characterization
IEEE Journal on Selected Areas in Communications
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Among symbol-detection techniques for multiple-input multiple-output (MIMO) wireless communications systems deploying spatial multiplexing, zero-forcing (ZF) is the low-complexity choice. However, ZF is also known to offer fairly low symbol-detection performance. Herein, simulations show that ZF performance can be improved dramatically with a new approach that exploits not only the channel matrix estimate, as the conventional approach, but also the channel and noise statistics. These performance gains are demonstrated for various assumptions about the channel fading type (Rayleigh and Rician) and about the azimuth spread and the K-factor.