Iterative Detection for Unique Word OFDM

Werner Haselmayr; Christian Hofbauer; Bernhard Etzlinger; Andreas Springer; Mario Huemer

doi:10.1109/GLOCOM.2014.7037309

Iterative Detection for Unique Word OFDM

Werner Haselmayr, Christian Hofbauer, Bernhard Etzlinger, Andreas Springer, Mario Huemer

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

Abstract

In this paper we consider a unique word OFDM (UW-OFDM) system with iterative detection, for which we explore two soft-input soft-output (SISO) detection algorithms: A LMMSE detector and a detector based on the generalized approximate message passing (GAMP) algorithm. For the GAMP based detector we propose additional simplifications suitable for UW-OFDM to further reduce the complexity while exhibiting only a small BER performance loss. As verified by computer simulations, both algorithms show a significant BER performance improvement over the iterations. Moreover, the GAMP based detector with the proposed simplifications outperforms the computational more complex LMMSE detector.

Originalsprache	Englisch
Titel	2014 IEEE Global Communications Conference
Herausgeber (Verlag)	IEEE Computer Society
Seiten	3261-3266
Seitenumfang	6
ISBN (Print)	978-1-4799-3512-3
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037309
Publikationsstatus	Veröffentlicht - 12 Dez. 2014
Extern publiziert	Ja
Veranstaltung	2014 IEEE Global Communications Conference - Austin, TX, USA Dauer: 8 Dez. 2014 → 12 Dez. 2014

Konferenz

Konferenz	2014 IEEE Global Communications Conference
Zeitraum	8/12/14 → 12/12/14

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10.1109/GLOCOM.2014.7037309

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title = "Iterative Detection for Unique Word OFDM",

abstract = "In this paper we consider a unique word OFDM (UW-OFDM) system with iterative detection, for which we explore two soft-input soft-output (SISO) detection algorithms: A LMMSE detector and a detector based on the generalized approximate message passing (GAMP) algorithm. For the GAMP based detector we propose additional simplifications suitable for UW-OFDM to further reduce the complexity while exhibiting only a small BER performance loss. As verified by computer simulations, both algorithms show a significant BER performance improvement over the iterations. Moreover, the GAMP based detector with the proposed simplifications outperforms the computational more complex LMMSE detector.",

keywords = "Detectors, Vectors, Bit error rate, OFDM, Generators, Signal processing algorithms, Approximation algorithms",

author = "Werner Haselmayr and Christian Hofbauer and Bernhard Etzlinger and Andreas Springer and Mario Huemer",

year = "2014",

month = dec,

day = "12",

doi = "10.1109/GLOCOM.2014.7037309",

language = "English",

isbn = "978-1-4799-3512-3",

pages = "3261--3266",

booktitle = "2014 IEEE Global Communications Conference",

publisher = "IEEE Computer Society",

address = "United States",

note = "2014 IEEE Global Communications Conference ; Conference date: 08-12-2014 Through 12-12-2014",

}

TY - GEN

T1 - Iterative Detection for Unique Word OFDM

AU - Haselmayr, Werner

AU - Hofbauer, Christian

AU - Etzlinger, Bernhard

AU - Springer, Andreas

AU - Huemer, Mario

PY - 2014/12/12

Y1 - 2014/12/12

N2 - In this paper we consider a unique word OFDM (UW-OFDM) system with iterative detection, for which we explore two soft-input soft-output (SISO) detection algorithms: A LMMSE detector and a detector based on the generalized approximate message passing (GAMP) algorithm. For the GAMP based detector we propose additional simplifications suitable for UW-OFDM to further reduce the complexity while exhibiting only a small BER performance loss. As verified by computer simulations, both algorithms show a significant BER performance improvement over the iterations. Moreover, the GAMP based detector with the proposed simplifications outperforms the computational more complex LMMSE detector.

AB - In this paper we consider a unique word OFDM (UW-OFDM) system with iterative detection, for which we explore two soft-input soft-output (SISO) detection algorithms: A LMMSE detector and a detector based on the generalized approximate message passing (GAMP) algorithm. For the GAMP based detector we propose additional simplifications suitable for UW-OFDM to further reduce the complexity while exhibiting only a small BER performance loss. As verified by computer simulations, both algorithms show a significant BER performance improvement over the iterations. Moreover, the GAMP based detector with the proposed simplifications outperforms the computational more complex LMMSE detector.

KW - Detectors

KW - Vectors

KW - Bit error rate

KW - OFDM

KW - Generators

KW - Signal processing algorithms

KW - Approximation algorithms

UR - https://ieeexplore.ieee.org/document/7037309/

U2 - 10.1109/GLOCOM.2014.7037309

DO - 10.1109/GLOCOM.2014.7037309

M3 - Conference Paper

SN - 978-1-4799-3512-3

SP - 3261

EP - 3266

BT - 2014 IEEE Global Communications Conference

PB - IEEE Computer Society

T2 - 2014 IEEE Global Communications Conference

Y2 - 8 December 2014 through 12 December 2014

ER -

Iterative Detection for Unique Word OFDM

Abstract

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