The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 안테나 셔플링을 이용한 DSTTD(Double Space Time Transmit Diversity) 및 OFDM(Orthogonal Frequency Division Multiplexing) 시스템을 위한 저복잡도 트랜시버를 연구합니다. 첫째, 채널 상관 행렬의 조건수를 최소화하는 기준을 바탕으로 새로운 안테나 셔플링 방법을 제안한다. 조건 번호는 채널 품질을 나타내는 지표입니다. 더 나은 채널 품질을 갖는 최소 조건 수를 선택함으로써 결과적으로 이 새로운 채널에 대한 선형 검출기가 더 나은 성능 결과를 얻을 수 있습니다. 조건수 계산의 복잡도가 낮은 변형도 제안되었으며, 이 기준은 최소 평균 제곱 오차(MMSE) 기반 기준으로 감소될 수 있음을 보여줍니다. 또한, ZF(Zero Forcing) 및 MMSE 선형 수신기에 내재된 잡음 향상을 완화하고 오류율 성능을 향상시키기 위해 가중치 연판정 Viterbi 디코딩이 적용됩니다. 다음으로 OFDM 부반송파 전체의 채널 주파수 응답이 상관되어 있다는 사실을 활용하여 피드백 양을 줄이는 알고리즘을 제안합니다. 제안된 알고리즘에서는 부반송파를 블록 단위로 클러스터링하고, 클러스터 내에서 가장 많은 수의 셔플링 패턴을 갖는 동일한 셔플링 패턴을 할당한다. 이렇게 하면 각 부반송파 기반 피드백에 비해 시그널링 오버헤드를 줄일 수 있습니다. 광범위한 시뮬레이션을 통해 DSTTD-OFDM 시스템에 대해 제안된 기술이 비상관 및 공간 상관 주파수 선택적 MIMO 페이딩 채널 모두에서 기존의 다른 기술보다 성능이 우수하다는 것을 보여줍니다.
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Liang ZHOU, Masahiko SHIMIZU, "Double Space Time Transmit Diversity OFDM System with Antenna Shuffling in Spatial Correlated Frequency Selective MIMO Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 10, pp. 2588-2599, October 2009, doi: 10.1587/transfun.E92.A.2588.
Abstract: In this paper, we study low complexity transceiver for double space time transmit diversity (DSTTD) and orthogonal frequency division multiplexing (OFDM) system with antenna shuffling. Firstly, we propose a novel antenna shuffling method based on the criterion of minimizing the condition number of channel correlation matrix. The condition number is an indicator about the quality of the channel. By selecting the minimum of condition number which has better channel quality, consequently, a linear detector with respect to this new channel may achieve better performance results. A low complexity variant of the condition number calculation is also proposed, and it is shown that this criterion can be reduced to the minimum mean square error (MMSE) based criterion. Furthermore, the weighted soft decision Viterbi decoding is applied to mitigate noise enhancement inherent to zero forcing (ZF) and MMSE linear receivers and improve error rate performance. Next, we propose an algorithm to reduce the amount of feedback by exploiting the fact that the channel frequency responses across OFDM subcarriers are correlated. In the proposed algorithm, subcarriers are clustered in blocks, which are allocated the same shuffling pattern with the largest number of the shuffling patterns in the cluster. This way, the signaling overhead can be reduced in comparison with each subcarrier based feedback. Extensive simulations show that the proposed techniques for DSTTD-OFDM system outperform other existing techniques under both uncorrelated and highly spatial correlated frequency selective MIMO fading channels.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.2588/_p
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@ARTICLE{e92-a_10_2588,
author={Liang ZHOU, Masahiko SHIMIZU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Double Space Time Transmit Diversity OFDM System with Antenna Shuffling in Spatial Correlated Frequency Selective MIMO Channels},
year={2009},
volume={E92-A},
number={10},
pages={2588-2599},
abstract={In this paper, we study low complexity transceiver for double space time transmit diversity (DSTTD) and orthogonal frequency division multiplexing (OFDM) system with antenna shuffling. Firstly, we propose a novel antenna shuffling method based on the criterion of minimizing the condition number of channel correlation matrix. The condition number is an indicator about the quality of the channel. By selecting the minimum of condition number which has better channel quality, consequently, a linear detector with respect to this new channel may achieve better performance results. A low complexity variant of the condition number calculation is also proposed, and it is shown that this criterion can be reduced to the minimum mean square error (MMSE) based criterion. Furthermore, the weighted soft decision Viterbi decoding is applied to mitigate noise enhancement inherent to zero forcing (ZF) and MMSE linear receivers and improve error rate performance. Next, we propose an algorithm to reduce the amount of feedback by exploiting the fact that the channel frequency responses across OFDM subcarriers are correlated. In the proposed algorithm, subcarriers are clustered in blocks, which are allocated the same shuffling pattern with the largest number of the shuffling patterns in the cluster. This way, the signaling overhead can be reduced in comparison with each subcarrier based feedback. Extensive simulations show that the proposed techniques for DSTTD-OFDM system outperform other existing techniques under both uncorrelated and highly spatial correlated frequency selective MIMO fading channels.},
keywords={},
doi={10.1587/transfun.E92.A.2588},
ISSN={1745-1337},
month={October},}
부
TY - JOUR
TI - Double Space Time Transmit Diversity OFDM System with Antenna Shuffling in Spatial Correlated Frequency Selective MIMO Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2588
EP - 2599
AU - Liang ZHOU
AU - Masahiko SHIMIZU
PY - 2009
DO - 10.1587/transfun.E92.A.2588
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2009
AB - In this paper, we study low complexity transceiver for double space time transmit diversity (DSTTD) and orthogonal frequency division multiplexing (OFDM) system with antenna shuffling. Firstly, we propose a novel antenna shuffling method based on the criterion of minimizing the condition number of channel correlation matrix. The condition number is an indicator about the quality of the channel. By selecting the minimum of condition number which has better channel quality, consequently, a linear detector with respect to this new channel may achieve better performance results. A low complexity variant of the condition number calculation is also proposed, and it is shown that this criterion can be reduced to the minimum mean square error (MMSE) based criterion. Furthermore, the weighted soft decision Viterbi decoding is applied to mitigate noise enhancement inherent to zero forcing (ZF) and MMSE linear receivers and improve error rate performance. Next, we propose an algorithm to reduce the amount of feedback by exploiting the fact that the channel frequency responses across OFDM subcarriers are correlated. In the proposed algorithm, subcarriers are clustered in blocks, which are allocated the same shuffling pattern with the largest number of the shuffling patterns in the cluster. This way, the signaling overhead can be reduced in comparison with each subcarrier based feedback. Extensive simulations show that the proposed techniques for DSTTD-OFDM system outperform other existing techniques under both uncorrelated and highly spatial correlated frequency selective MIMO fading channels.
ER -