Fast ML decoding for OSTBC and QOSTBC coded MIMO-OFDM systems with clipping

Zhefeng Li; Xiang Gen Xia

doi:10.2174/978160805188511201010132

Fast ML decoding for OSTBC and QOSTBC coded MIMO-OFDM systems with clipping

Zhefeng Li^*, Xiang Gen Xia

^*Corresponding author for this work

University of Delaware

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

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 chapter, we develop fast (single-symbol) maximum likelihood (ML) decoding algorithms for orthogonal space-time block codes (OSTBC) and (linearly transformed) 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 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
Title of host publication	Orthogonal Frequency Division Multiplexing with Diversity for Future Wireless Systems
Publisher	Bentham Science Publishers Ltd.
Pages	132-162
Number of pages	31
ISBN (Print)	9781608055463
DOIs	https://doi.org/10.2174/978160805188511201010132
Publication status	Published - 2012
Externally published	Yes

Keywords

Clipping
MIMO-OFDM
Orthogonal space-time block code
PAPR
Space time block code

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10.2174/978160805188511201010132

Cite this

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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 chapter, we develop fast (single-symbol) maximum likelihood (ML) decoding algorithms for orthogonal space-time block codes (OSTBC) and (linearly transformed) 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 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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Fast ML decoding for OSTBC and QOSTBC coded MIMO-OFDM systems with clipping

Abstract

Keywords

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