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

TL;DR
This paper shows that MMSE symbol-by-symbol linear equalizers in frequency-selective channels can achieve full diversity order, unlike zero-forcing equalizers, thus balancing complexity and performance effectively.
Contribution
It demonstrates that MMSE linear equalizers do not suffer diversity loss and achieve full diversity order, a significant improvement over zero-forcing equalizers.
Findings
MMSE equalizers achieve full diversity order of (ν+1).
Zero-forcing equalizers have a diversity order of one.
Full diversity is maintained with MMSE equalizers in frequency-selective channels.
Abstract
In frequency-selective channels linear receivers enjoy 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 () while the zero-forcing symbol-by-symbol linear equalizer always achieves a diversity order of one.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Techniques · Cellular Automata and Applications · graph theory and CDMA systems
