Return to search

Iterative equalization and decoding using reduced-state sequence estimation based soft-output algorithms

We study and analyze the performance of iterative equalization and decoding (IED) using an M-BCJR equalizer. We use bit error rate (BER), frame error rate simulations and extrinsic information transfer (EXIT) charts to study and compare the performances of M-BCJR and BCJR equalizers on precoded and non-precoded channels. Using EXIT charts, the achievable channel capacities with IED using the BCJR, M-BCJR and MMSE LE equalizers are also compared. We predict the BER performance of IED using the M-BCJR equalizer from EXIT charts and explain
the discrepancy between the observed and predicted performances by showing that the extrinsic outputs of the $M$-BCJR algorithm are not true logarithmic-likelihood ratios (LLR's). We show that the true LLR's can be estimated if the
conditional distributions of the extrinsic outputs are known and finally we design a practical estimator for computing the true LLR's from the extrinsic outputs
of the M-BCJR equalizer.

Identiferoai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/283
Date30 September 2004
CreatorsTamma, Raja Venkatesh
ContributorsNarayanan, Krishna R.
PublisherTexas A&M University
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeBook, Thesis, Electronic Thesis, text
Format498349 bytes, 101105 bytes, electronic, application/pdf, text/plain, born digital

Page generated in 0.0024 seconds