Adaptive minimum symbol-error-rate decision feedback equalization for multilevel pulse-amplitude modulation
Chen, S., Hanzo, L. and Mulgrew, B. (2004) Adaptive minimum symbol-error-rate decision feedback equalization for multilevel pulse-amplitude modulation. IEEE Transactions on Signal Processing, 52, (7), 2092-2101.
This is the latest version of this item.
The design of decision feedback equalizers (DFEs) is typically based on the minimum mean square error (MMSE) principle, as this leads to effective adaptive implementation in the form of the least mean square algorithm. It is well-known, however, that in certain situations the MMSE solution can be distinctly inferior to the optimal minimum symbol error rate (MSER) solution. We consider the MSER design for multi-level pulse-amplitude modulation. Block-data adaptive implementation of the theoretical MSER DFE solution is developed based on the Parzen window estimate of probability density function. Furthermore, a sample-by-sample adaptive MSER algorithm, called the least symbol error rate (LSER), is derived for adaptive equalization application. The proposed LSER algorithm has a complexity that increases linearly with the equalizer length. Computer simulation is employed to evaluate the proposed alternative MSER design for equalization application with multi-level signalling schemes.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||28 Jun 2004|
|Last Modified:||18 Aug 2012 03:33|
|Contributors:||Chen, S. (Author)
Hanzo, L. (Author)
Mulgrew, B. (Author)
|Publisher:||IEEE Signal Processing Society|
|Further Information:||Google Scholar|
|ISI Citation Count:||13|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Available Versions of this Item
- Adaptive minimum symbol-error-rate decision feedback equalization for multilevel pulse-amplitude modulation. (deposited 28 Jun 2004) [Currently Displayed]
Actions (login required)