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Diversity Analysis of Symbol-by-Symbol Linear Ali Tajer, Member, IEEE, Aria Nosratinia, Fellow, IEEE, and Naofal Al-Dhahir, Fellow, IEEE
 

Summary: 1
Diversity Analysis of Symbol-by-Symbol Linear
Equalizers
Ali Tajer, Member, IEEE, Aria Nosratinia, Fellow, IEEE, and Naofal Al-Dhahir, Fellow, IEEE
Abstract--In frequency-selective channels linear receivers en-
joy significantly-reduced complexity compared with maximum
likelihood receivers at the cost of performance degradation which
can be in the form of a loss of the inherent frequency diversity
order or reduced coding gain. This paper demonstrates that the
minimum mean-square error symbol-by-symbol linear equalizer
incurs no diversity loss compared to the maximum likelihood
receivers. In particular, for a channel with memory , it achieves
the full diversity order of ( + 1) while the zero-forcing symbol-
by-symbol linear equalizer always achieves a diversity order of
one.
Index Terms--Frequency diversity, linear equalization, mini-
mum mean-square error, and zero-forcing.
I. INTRODUCTION
In broadband wireless communication systems, the coher-
ence bandwidth of the fading channel is significantly less

  

Source: Al-Dhahir, Naofal - Department of Electrical Engineering, University of Texas at Dallas

 

Collections: Engineering