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

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

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.

Original language	English
Title of host publication	2013 Asilomar Conference on Signals, Systems and Computers
Publisher	IEEE Computer Society
Pages	1934-1938
Number of pages	5
ISBN (Print)	978-1-4799-2388-5
DOIs	https://doi.org/10.1109/ACSSC.2013.6810641
Publication status	Published - 6 Nov 2013
Externally published	Yes
Event	2013 Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, USA Duration: 3 Nov 2013 → 6 Nov 2013

Conference

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

Keywords

Vectors
Covariance matrices
Binary phase shift keying
Generators
OFDM
Estimation

Access to Document

10.1109/ACSSC.2013.6810641

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6810641

Cite this

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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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Keywords

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