Turbo Equalization Using Partial Gaussian Approximation
Copyright policy )Turbo Equalization Using Partial Gaussian Approximation
This paper deals with turbo-equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation-propagation rule to convert messages passed from the demodulator-decoder to the equalizer and computes messages returned by the equalizer by using a partial Gaussian approximation (PGA). Results from Monte Carlo simulations show that this approach leads to a significant performance improvement compared to state-of-the-art turbo-equalizers and allows for trading performance with complexity. We exploit the specific structure of the ISI channel model to significantly reduce the complexity of the PGA compared to that considered in the initial paper proposing the method.
5 pages, 2 figures, submitted to IEEE Signal Processing Letters on 8 March, 2016
- Aalborg University Denmark
- Aalborg University Library (AUB) Denmark
- Zhengzhou University China (People's Republic of)
- University of Western Australia Australia
- University of Wollongong Australia
FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), Science and Technology Studies, turbo, Engineering, turbo equalization, Message passing, partial Gaussian approximation (PGA), partial, gaussian, equalization, approximation
FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), Science and Technology Studies, turbo, Engineering, turbo equalization, Message passing, partial Gaussian approximation (PGA), partial, gaussian, equalization, approximation
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).2 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!