Widely Linear Data Estimation for Unique Word OFDM

Mario Huemer; Alexander Onic; Christian Hofbauer; Stefan Trampitsch

doi:10.1109/ACSSC.2013.6810641

Widely Linear Data Estimation for Unique Word OFDM

Mario Huemer, Alexander Onic, Christian Hofbauer, Stefan Trampitsch

Publikation: Konferenzband/Beitrag in Buch/Bericht › Konferenzartikel › Begutachtung

Abstract

Unique word - orthogonal frequency division multiplexing (UW-OFDM) is known to feature an excellent bit error ratio performance when compared to conventional OFDM using cyclic prefixes (CP). In recent papers linear and non-linear UW-OFDM receivers have been investigated and compared for proper data vectors consisting of QPSK and 16-QAM symbols. In this work we derive the widely linear minimum mean square error (WLMMSE) estimator for the application to UW-OFDM in combination with real and therefore improper data vectors. For the investigated modulation schemes BPSK and M-ASK our simulation results indicate a significant performance gain of the widely linear estimator over strictly linear methods.

Originalsprache	Englisch
Titel	2013 Asilomar Conference on Signals, Systems and Computers
Herausgeber (Verlag)	IEEE Computer Society
Seiten	1934-1938
Seitenumfang	5
ISBN (Print)	978-1-4799-2388-5
DOIs	https://doi.org/10.1109/ACSSC.2013.6810641
Publikationsstatus	Veröffentlicht - 6 Nov. 2013
Extern publiziert	Ja
Veranstaltung	2013 Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, USA Dauer: 3 Nov. 2013 → 6 Nov. 2013

Konferenz

Konferenz	2013 Asilomar Conference on Signals, Systems and Computers
Zeitraum	3/11/13 → 6/11/13

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title = "Widely Linear Data Estimation for Unique Word OFDM",

abstract = "Unique word - orthogonal frequency division multiplexing (UW-OFDM) is known to feature an excellent bit error ratio performance when compared to conventional OFDM using cyclic prefixes (CP). In recent papers linear and non-linear UW-OFDM receivers have been investigated and compared for proper data vectors consisting of QPSK and 16-QAM symbols. In this work we derive the widely linear minimum mean square error (WLMMSE) estimator for the application to UW-OFDM in combination with real and therefore improper data vectors. For the investigated modulation schemes BPSK and M-ASK our simulation results indicate a significant performance gain of the widely linear estimator over strictly linear methods.",

keywords = "Vectors, Covariance matrices, Binary phase shift keying, Generators, OFDM, Estimation",

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

year = "2013",

month = nov,

day = "6",

doi = "10.1109/ACSSC.2013.6810641",

language = "English",

isbn = "978-1-4799-2388-5",

pages = "1934--1938",

booktitle = "2013 Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

address = "United States",

note = "2013 Asilomar Conference on Signals, Systems and Computers ; Conference date: 03-11-2013 Through 06-11-2013",

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TY - GEN

T1 - Widely Linear Data Estimation for Unique Word OFDM

AU - Huemer, Mario

AU - Onic, Alexander

AU - Hofbauer, Christian

AU - Trampitsch, Stefan

PY - 2013/11/6

Y1 - 2013/11/6

N2 - Unique word - orthogonal frequency division multiplexing (UW-OFDM) is known to feature an excellent bit error ratio performance when compared to conventional OFDM using cyclic prefixes (CP). In recent papers linear and non-linear UW-OFDM receivers have been investigated and compared for proper data vectors consisting of QPSK and 16-QAM symbols. In this work we derive the widely linear minimum mean square error (WLMMSE) estimator for the application to UW-OFDM in combination with real and therefore improper data vectors. For the investigated modulation schemes BPSK and M-ASK our simulation results indicate a significant performance gain of the widely linear estimator over strictly linear methods.

AB - Unique word - orthogonal frequency division multiplexing (UW-OFDM) is known to feature an excellent bit error ratio performance when compared to conventional OFDM using cyclic prefixes (CP). In recent papers linear and non-linear UW-OFDM receivers have been investigated and compared for proper data vectors consisting of QPSK and 16-QAM symbols. In this work we derive the widely linear minimum mean square error (WLMMSE) estimator for the application to UW-OFDM in combination with real and therefore improper data vectors. For the investigated modulation schemes BPSK and M-ASK our simulation results indicate a significant performance gain of the widely linear estimator over strictly linear methods.

KW - Vectors

KW - Covariance matrices

KW - Binary phase shift keying

KW - Generators

KW - OFDM

KW - Estimation

UR - https://ieeexplore.ieee.org/document/6810641/

U2 - 10.1109/ACSSC.2013.6810641

DO - 10.1109/ACSSC.2013.6810641

M3 - Conference Paper

SN - 978-1-4799-2388-5

SP - 1934

EP - 1938

BT - 2013 Asilomar Conference on Signals, Systems and Computers

PB - IEEE Computer Society

T2 - 2013 Asilomar Conference on Signals, Systems and Computers

Y2 - 3 November 2013 through 6 November 2013

ER -

Widely Linear Data Estimation for Unique Word OFDM

Abstract

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