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

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

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.

Original language	English
Title of host publication	IEEE Global Communications Conference (GLOBECOM 2014)
Pages	3361-3366
Number of pages	6
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037309
Publication status	Published - Dec 2014

Fields of science

202038 Telecommunications
202 Electrical Engineering, Electronics, Information Engineering
202030 Communication engineering
202037 Signal processing

JKU Focus areas

Mechatronics and Information Processing

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10.1109/GLOCOM.2014.7037309

Cite this

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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.",

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

year = "2014",

month = dec,

doi = "10.1109/GLOCOM.2014.7037309",

language = "English",

isbn = "978-1-4799-3511-6",

pages = "3361--3366",

booktitle = "IEEE Global Communications Conference (GLOBECOM 2014)",

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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

Y1 - 2014/12

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.

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

U2 - 10.1109/GLOCOM.2014.7037309

DO - 10.1109/GLOCOM.2014.7037309

M3 - Conference proceedings

SN - 978-1-4799-3511-6

SP - 3361

EP - 3366

BT - IEEE Global Communications Conference (GLOBECOM 2014)

ER -

Iterative Detection for Unique Word OFDM

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Unique-Word-Based OFDM

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Iterative Detection for Unique Word OFDM

Abstract

Fields of science

JKU Focus areas

Access to Document

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Unique-Word-Based OFDM

Cite this