Single-symbol ML decoding for orthogonal and quasi-orthogonal STBC in clipped MIMO-OFDM systems using a clipping noise model with Gaussian approximation

Zhefeng Li; Xiang Gen Xia

doi:10.1109/TCOMM.2008.060485

Single-symbol ML decoding for orthogonal and quasi-orthogonal STBC in clipped MIMO-OFDM systems using a clipping noise model with Gaussian approximation

Zhefeng Li^*, Xiang Gen Xia

^*Corresponding author for this work

University of Delaware

Research output: Contribution to journal › Article › peer-review

8 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 (single-symbol) ML decoding algorithms for orthogonal space-time block codes (OSTBC) and (linearly transformed) quasi orthogonal spacetime 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 developed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTBC and QOSTBC while the decoding complexities are not increased. Simulation results are presented to illustrate the improvement.

Original language	English
Pages (from-to)	1127-1136
Number of pages	10
Journal	IEEE Transactions on Communications
Volume	56
Issue number	7
DOIs	https://doi.org/10.1109/TCOMM.2008.060485
Publication status	Published - Jul 2008
Externally published	Yes

Keywords

Clipping noise
MIMO-OFDM systems
Orthogonal and quasi-orthogonal space-time block codes
Single-symbol ML decoding

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10.1109/TCOMM.2008.060485

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title = "Single-symbol ML decoding for orthogonal and quasi-orthogonal STBC in clipped MIMO-OFDM systems using a clipping noise model with Gaussian approximation",

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 (single-symbol) ML decoding algorithms for orthogonal space-time block codes (OSTBC) and (linearly transformed) quasi orthogonal spacetime 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 developed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTBC and QOSTBC while the decoding complexities are not increased. Simulation results are presented to illustrate the improvement.",

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

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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 (single-symbol) ML decoding algorithms for orthogonal space-time block codes (OSTBC) and (linearly transformed) quasi orthogonal spacetime 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 developed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTBC and QOSTBC while the decoding complexities are not increased. Simulation results are presented to illustrate the improvement.

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Single-symbol ML decoding for orthogonal and quasi-orthogonal STBC in clipped MIMO-OFDM systems using a clipping noise model with Gaussian approximation

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Keywords

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