Linear Data Estimators for UW-OFDM: Classical and Bayesian Approaches

Mario Huemer; Alexander Onic; Christian Hofbauer

Linear Data Estimators for UW-OFDM: Classical and Bayesian Approaches

Mario Huemer, Alexander Onic, Christian Hofbauer

Research output: Conference proceeding/Chapter in Book/Report/ › Conference Paper › peer-review

Abstract

UW-OFDM (unique word - orthogonal frequency division multiplexing) is a novel OFDM signaling concept, where the guard interval is built of a deterministic sequence - the so-called unique word - instead of the conventional random cyclic prefix. In contrast to previous attempts with deterministic sequences in the guard interval, the addressed UW-OFDM signaling approach introduces correlations between the subcarrier symbols, which can be exploited by the receiver in order to improve the bit error ratio performance. In this paper we develop several linear data estimators specifically designed for UW-OFDM, based on classical as well as on Bayesian estimation theory. We evaluate the estimators' performance for the additive white Gaussian noise channel and for selected indoor multipath channel scenarios.

Original language	English
Title of host publication	2011 19th European Signal Processing Conference
Publisher	IEEE Computer Society
Pages	1613-1617
Number of pages	5
Publication status	Published - 2 Sept 2011
Externally published	Yes
Event	2011 19th European Signal Processing Conference - Barcelona, Spain Duration: 29 Aug 2011 → 2 Sept 2011

Conference

Conference	2011 19th European Signal Processing Conference
Period	29/08/11 → 2/09/11

Keywords

OFDM
Equalizers
Bit error rate
Noise
Vectors
Channel estimation
Covariance matrices

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@inproceedings{962ff9351a304d57b09937ac0f2705c5,

title = "Linear Data Estimators for UW-OFDM: Classical and Bayesian Approaches",

abstract = "UW-OFDM (unique word - orthogonal frequency division multiplexing) is a novel OFDM signaling concept, where the guard interval is built of a deterministic sequence - the so-called unique word - instead of the conventional random cyclic prefix. In contrast to previous attempts with deterministic sequences in the guard interval, the addressed UW-OFDM signaling approach introduces correlations between the subcarrier symbols, which can be exploited by the receiver in order to improve the bit error ratio performance. In this paper we develop several linear data estimators specifically designed for UW-OFDM, based on classical as well as on Bayesian estimation theory. We evaluate the estimators' performance for the additive white Gaussian noise channel and for selected indoor multipath channel scenarios.",

keywords = "OFDM, Equalizers, Bit error rate, Noise, Vectors, Channel estimation, Covariance matrices",

author = "Mario Huemer and Alexander Onic and Christian Hofbauer",

year = "2011",

month = sep,

day = "2",

language = "English",

pages = "1613--1617",

booktitle = "2011 19th European Signal Processing Conference",

publisher = "IEEE Computer Society",

address = "United States",

note = "2011 19th European Signal Processing Conference ; Conference date: 29-08-2011 Through 02-09-2011",

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TY - GEN

T1 - Linear Data Estimators for UW-OFDM: Classical and Bayesian Approaches

AU - Huemer, Mario

AU - Onic, Alexander

AU - Hofbauer, Christian

PY - 2011/9/2

Y1 - 2011/9/2

N2 - UW-OFDM (unique word - orthogonal frequency division multiplexing) is a novel OFDM signaling concept, where the guard interval is built of a deterministic sequence - the so-called unique word - instead of the conventional random cyclic prefix. In contrast to previous attempts with deterministic sequences in the guard interval, the addressed UW-OFDM signaling approach introduces correlations between the subcarrier symbols, which can be exploited by the receiver in order to improve the bit error ratio performance. In this paper we develop several linear data estimators specifically designed for UW-OFDM, based on classical as well as on Bayesian estimation theory. We evaluate the estimators' performance for the additive white Gaussian noise channel and for selected indoor multipath channel scenarios.

AB - UW-OFDM (unique word - orthogonal frequency division multiplexing) is a novel OFDM signaling concept, where the guard interval is built of a deterministic sequence - the so-called unique word - instead of the conventional random cyclic prefix. In contrast to previous attempts with deterministic sequences in the guard interval, the addressed UW-OFDM signaling approach introduces correlations between the subcarrier symbols, which can be exploited by the receiver in order to improve the bit error ratio performance. In this paper we develop several linear data estimators specifically designed for UW-OFDM, based on classical as well as on Bayesian estimation theory. We evaluate the estimators' performance for the additive white Gaussian noise channel and for selected indoor multipath channel scenarios.

KW - OFDM

KW - Equalizers

KW - Bit error rate

KW - Noise

KW - Vectors

KW - Channel estimation

KW - Covariance matrices

UR - https://ieeexplore.ieee.org/document/7073907/

M3 - Conference Paper

SP - 1613

EP - 1617

BT - 2011 19th European Signal Processing Conference

PB - IEEE Computer Society

T2 - 2011 19th European Signal Processing Conference

Y2 - 29 August 2011 through 2 September 2011

ER -

Linear Data Estimators for UW-OFDM: Classical and Bayesian Approaches

Abstract

Conference

Keywords

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