Signal schemes for MIMO linear receivers with better error performance
Linear receiver is an easy way for demodulations in wireless multiple-input multiple-output (MIMO) communications due to its low complexity. The ML receiver on the other hand, though having optimal performance, has very high complexity. In this thesis, DMT analysis of MIMO Rayleigh fading channels using general colored Gaussian inputs and linear receivers are presented. It is shown that the DMT of linear receivers is in general underestimated. We propose that by varying the rank of the covariance matrix of the Gaussian input and allowing temporal coding across multiple channel uses, the DMT performance can be significantly improved such that the linear receivers can achieve the same diversity as the ML receivers at a fixed data rate; hence it is much better than the widely adopted independent and identically distributed Gaussian input. Furthermore, the outage probability and the error probability can be improved in the high signal-to-noise-ratio (SNR) regime. Numerical simulations are also provided to justify our claims.
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