A Minimum Mean-Square-Error (MMSE) Decoder for Quasi-Orthogonal Space–Time Block Code

The quasi-orthogonal space−time block code (QO-STBC) was introduced to achieve a full transmission rate for the four antennas system. In this paper, a decoding method for the QO-STBC is proposed to improve the bit-error-rate (BER) and to solve a rank-deficient problem. The proposed algorit...

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Main Author: Jae Jin Jeong
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/8/7/732
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author Jae Jin Jeong
author_facet Jae Jin Jeong
author_sort Jae Jin Jeong
collection DOAJ
description The quasi-orthogonal space−time block code (QO-STBC) was introduced to achieve a full transmission rate for the four antennas system. In this paper, a decoding method for the QO-STBC is proposed to improve the bit-error-rate (BER) and to solve a rank-deficient problem. The proposed algorithm is based on the minimum mean-square-error (MMSE) technique. To overcome the implementation problem from the MMSE, an estimation method of the noise variance is developed in this paper. The proposed algorithm is implemented without matrix inversion, therefore, the proposed algorithm achieves a better BER than the conventional algorithms, as it has a low computational complexity. The simulation results show the low BER of the proposed algorithm in a Rayleigh fading channel.
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spelling doaj.art-7cda2706611d42bf8af347b2f42c23fe2022-12-22T04:27:19ZengMDPI AGElectronics2079-92922019-06-018773210.3390/electronics8070732electronics8070732A Minimum Mean-Square-Error (MMSE) Decoder for Quasi-Orthogonal Space–Time Block CodeJae Jin Jeong01st C4ISR Systems Team, C4ISR Systems Center, Defense Agency for Technology and Quality (DTaQ), Daegu 42037, KoreaThe quasi-orthogonal space−time block code (QO-STBC) was introduced to achieve a full transmission rate for the four antennas system. In this paper, a decoding method for the QO-STBC is proposed to improve the bit-error-rate (BER) and to solve a rank-deficient problem. The proposed algorithm is based on the minimum mean-square-error (MMSE) technique. To overcome the implementation problem from the MMSE, an estimation method of the noise variance is developed in this paper. The proposed algorithm is implemented without matrix inversion, therefore, the proposed algorithm achieves a better BER than the conventional algorithms, as it has a low computational complexity. The simulation results show the low BER of the proposed algorithm in a Rayleigh fading channel.https://www.mdpi.com/2079-9292/8/7/732multiple-input/multiple-output systemnoise variance estimationMMSE decoderquadrature phase shift keyingwireless communications
spellingShingle Jae Jin Jeong
A Minimum Mean-Square-Error (MMSE) Decoder for Quasi-Orthogonal Space–Time Block Code
Electronics
multiple-input/multiple-output system
noise variance estimation
MMSE decoder
quadrature phase shift keying
wireless communications
title A Minimum Mean-Square-Error (MMSE) Decoder for Quasi-Orthogonal Space–Time Block Code
title_full A Minimum Mean-Square-Error (MMSE) Decoder for Quasi-Orthogonal Space–Time Block Code
title_fullStr A Minimum Mean-Square-Error (MMSE) Decoder for Quasi-Orthogonal Space–Time Block Code
title_full_unstemmed A Minimum Mean-Square-Error (MMSE) Decoder for Quasi-Orthogonal Space–Time Block Code
title_short A Minimum Mean-Square-Error (MMSE) Decoder for Quasi-Orthogonal Space–Time Block Code
title_sort minimum mean square error mmse decoder for quasi orthogonal space time block code
topic multiple-input/multiple-output system
noise variance estimation
MMSE decoder
quadrature phase shift keying
wireless communications
url https://www.mdpi.com/2079-9292/8/7/732
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