dc.contributor.advisor | Narayanan, Krishna R. | |
dc.creator | Tamma, Raja Venkatesh | |
dc.date.accessioned | 2004-09-30T01:49:51Z | |
dc.date.available | 2004-09-30T01:49:51Z | |
dc.date.created | 2005-05 | |
dc.date.issued | 2004-09-30 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/283 | |
dc.description.abstract | 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. | en |
dc.format.extent | 498349 bytes | en |
dc.format.extent | 101105 bytes | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Texas A&M University | |
dc.subject | turbo equalization | en |
dc.subject | M-BCJR | en |
dc.subject | low-complexity equalizers | en |
dc.subject | convergence behavior | en |
dc.subject | true LLRs' estimation | en |
dc.title | Iterative equalization and decoding using reduced-state sequence estimation based soft-output algorithms | en |
dc.type | Book | en |
dc.type | Thesis | en |
thesis.degree.department | Electrical Engineering | en |
thesis.degree.discipline | Electrical Engineering | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Miller, Scott | |
dc.contributor.committeeMember | Liu, Jyh-Charn | |
dc.contributor.committeeMember | Choi, Gwan | |
dc.type.genre | Electronic Thesis | en |
dc.type.material | text | en |
dc.format.digitalOrigin | born digital | en |