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Low-power turbo equalizer architecture

Authors: null Seok-Jun Lee; N.R. Shanbhag; A.C. Singer;

Low-power turbo equalizer architecture

Abstract

In this paper, we propose a low complexity architecture for turbo equalizers. Turbo equalizers jointly equalize and decode the received signal by exchanging soft information iteratively. The proposed architecture employs early termination of the iterative process when it does not impact the bit-error rate (BER). Early termination enables the powering down parts of the soft-input soft-output (SISO) equalizer and decoder thereby saving power. Simulation results show that the complexity is reduced by 20% /spl sim/ 59% and 8% /spl sim/ 58% in equalization and decoding, respectively. In addition, the number of iterations is reduced by 30% /spl sim/ 47% with negligible degradation in BER.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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