Clipping noise model based fast ML decoding for OSTBC and QOSTBC in clipped MIMO-OFDM systems

Zhefeng Li; Xiang Gen Xia

doi:10.1109/ISIT.2007.4557399

Clipping noise model based fast ML decoding for OSTBC and QOSTBC in clipped MIMO-OFDM systems

Zhefeng Li^*
, Xiang Gen Xia

^*Corresponding author for this work

University of Delaware

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

2 Citations (Scopus)

Abstract

An efficient way to reduce the peak-to-average power ratio (PAPR) in OFDM systems is clipping. After the clipping in an MIMO-OFDM system, the additive noise may not be white. In this paper, we develop fast ML decoding algorithms for orthogonal space-time block codes (OSTBC) and quasi orthogonal space-time block codes (QOSTBC) in clipped MIMO-OFDM systems by using a clipping noise model with Gaussian approximation. By using the statistics of the clipping distortions, our newly proposed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTBC and QOSTBC without increasing the decoding complexity. Simulation results are presented to illustrate the improvement.

Original language	English
Title of host publication	Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007
Pages	1281-1285
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2007.4557399
Publication status	Published - 2007
Externally published	Yes
Event	2007 IEEE International Symposium on Information Theory, ISIT 2007 - Nice, France Duration: 24 Jun 2007 → 29 Jun 2007

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
ISSN (Print)	2157-8101

Conference

Conference	2007 IEEE International Symposium on Information Theory, ISIT 2007
Country/Territory	France
City	Nice
Period	24/06/07 → 29/06/07

Access to Document

10.1109/ISIT.2007.4557399

Cite this

@inproceedings{a7f084e23e484b22b2c29c4f91e011a9,

title = "Clipping noise model based fast ML decoding for OSTBC and QOSTBC in clipped MIMO-OFDM systems",

abstract = "An efficient way to reduce the peak-to-average power ratio (PAPR) in OFDM systems is clipping. After the clipping in an MIMO-OFDM system, the additive noise may not be white. In this paper, we develop fast ML decoding algorithms for orthogonal space-time block codes (OSTBC) and quasi orthogonal space-time block codes (QOSTBC) in clipped MIMO-OFDM systems by using a clipping noise model with Gaussian approximation. By using the statistics of the clipping distortions, our newly proposed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTBC and QOSTBC without increasing the decoding complexity. Simulation results are presented to illustrate the improvement.",

author = "Zhefeng Li and Xia, \{Xiang Gen\}",

year = "2007",

doi = "10.1109/ISIT.2007.4557399",

language = "English",

isbn = "1424414296",

series = "IEEE International Symposium on Information Theory - Proceedings",

pages = "1281--1285",

booktitle = "Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007",

note = "2007 IEEE International Symposium on Information Theory, ISIT 2007 ; Conference date: 24-06-2007 Through 29-06-2007",

}

Li, Z & Xia, XG 2007, Clipping noise model based fast ML decoding for OSTBC and QOSTBC in clipped MIMO-OFDM systems. in Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007., 4557399, IEEE International Symposium on Information Theory - Proceedings, pp. 1281-1285, 2007 IEEE International Symposium on Information Theory, ISIT 2007, Nice, France, 24/06/07. https://doi.org/10.1109/ISIT.2007.4557399

Clipping noise model based fast ML decoding for OSTBC and QOSTBC in clipped MIMO-OFDM systems. / Li, Zhefeng; Xia, Xiang Gen.
Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007. 2007. p. 1281-1285 4557399 (IEEE International Symposium on Information Theory - Proceedings).

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

TY - GEN

T1 - Clipping noise model based fast ML decoding for OSTBC and QOSTBC in clipped MIMO-OFDM systems

AU - Li, Zhefeng

AU - Xia, Xiang Gen

PY - 2007

Y1 - 2007

N2 - An efficient way to reduce the peak-to-average power ratio (PAPR) in OFDM systems is clipping. After the clipping in an MIMO-OFDM system, the additive noise may not be white. In this paper, we develop fast ML decoding algorithms for orthogonal space-time block codes (OSTBC) and quasi orthogonal space-time block codes (QOSTBC) in clipped MIMO-OFDM systems by using a clipping noise model with Gaussian approximation. By using the statistics of the clipping distortions, our newly proposed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTBC and QOSTBC without increasing the decoding complexity. Simulation results are presented to illustrate the improvement.

AB - An efficient way to reduce the peak-to-average power ratio (PAPR) in OFDM systems is clipping. After the clipping in an MIMO-OFDM system, the additive noise may not be white. In this paper, we develop fast ML decoding algorithms for orthogonal space-time block codes (OSTBC) and quasi orthogonal space-time block codes (QOSTBC) in clipped MIMO-OFDM systems by using a clipping noise model with Gaussian approximation. By using the statistics of the clipping distortions, our newly proposed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTBC and QOSTBC without increasing the decoding complexity. Simulation results are presented to illustrate the improvement.

UR - https://www.scopus.com/pages/publications/51649109884

U2 - 10.1109/ISIT.2007.4557399

DO - 10.1109/ISIT.2007.4557399

M3 - Conference contribution

AN - SCOPUS:51649109884

SN - 1424414296

SN - 9781424414291

T3 - IEEE International Symposium on Information Theory - Proceedings

SP - 1281

EP - 1285

BT - Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007

T2 - 2007 IEEE International Symposium on Information Theory, ISIT 2007

Y2 - 24 June 2007 through 29 June 2007

ER -

Clipping noise model based fast ML decoding for OSTBC and QOSTBC in clipped MIMO-OFDM systems

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