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
우리는 채널의 선험적 시간 상관 통계와 공간 상관을 사용하여 MIMO 채널 추정 문제를 해결합니다. 시간적 상관관계는 Gauss-Markov 채널 모델을 가정하여 추정 방식에 통합됩니다. MMSE 기준에 따라 Kalman 필터는 반복적인 최적 추정을 수행합니다. 향상된 추정 기능을 활용하기 위해 MIMO 안테나 선택 시스템의 부분 채널 측정을 통한 채널 추정 문제에 중점을 둡니다. 최적의 훈련 시퀀스 설계와 통계를 기반으로 채널 측정을 위한 최적의 안테나 하위 집합 선택에 대해 논의합니다. 상관도가 높은 채널에서는 일부 안테나 요소의 측정이 각 페이딩 블록에서 생략되는 경우에도 추정이 작동합니다.
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부
Yousuke NARUSE, Jun-ichi TAKADA, "Iterative Channel Estimation in MIMO Antenna Selection Systems for Correlated Gauss-Markov Channel" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 3, pp. 922-932, March 2009, doi: 10.1587/transcom.E92.B.922.
Abstract: We address the issue of MIMO channel estimation with the aid of a priori temporal correlation statistics of the channel as well as the spatial correlation. The temporal correlations are incorporated to the estimation scheme by assuming the Gauss-Markov channel model. Under the MMSE criteria, the Kalman filter performs an iterative optimal estimation. To take advantage of the enhanced estimation capability, we focus on the problem of channel estimation from a partial channel measurement in the MIMO antenna selection system. We discuss the optimal training sequence design, and also the optimal antenna subset selection for channel measurement based on the statistics. In a highly correlated channel, the estimation works even when the measurements from some antenna elements are omitted at each fading block.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.922/_p
부
@ARTICLE{e92-b_3_922,
author={Yousuke NARUSE, Jun-ichi TAKADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Iterative Channel Estimation in MIMO Antenna Selection Systems for Correlated Gauss-Markov Channel},
year={2009},
volume={E92-B},
number={3},
pages={922-932},
abstract={We address the issue of MIMO channel estimation with the aid of a priori temporal correlation statistics of the channel as well as the spatial correlation. The temporal correlations are incorporated to the estimation scheme by assuming the Gauss-Markov channel model. Under the MMSE criteria, the Kalman filter performs an iterative optimal estimation. To take advantage of the enhanced estimation capability, we focus on the problem of channel estimation from a partial channel measurement in the MIMO antenna selection system. We discuss the optimal training sequence design, and also the optimal antenna subset selection for channel measurement based on the statistics. In a highly correlated channel, the estimation works even when the measurements from some antenna elements are omitted at each fading block.},
keywords={},
doi={10.1587/transcom.E92.B.922},
ISSN={1745-1345},
month={March},}
부
TY - JOUR
TI - Iterative Channel Estimation in MIMO Antenna Selection Systems for Correlated Gauss-Markov Channel
T2 - IEICE TRANSACTIONS on Communications
SP - 922
EP - 932
AU - Yousuke NARUSE
AU - Jun-ichi TAKADA
PY - 2009
DO - 10.1587/transcom.E92.B.922
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2009
AB - We address the issue of MIMO channel estimation with the aid of a priori temporal correlation statistics of the channel as well as the spatial correlation. The temporal correlations are incorporated to the estimation scheme by assuming the Gauss-Markov channel model. Under the MMSE criteria, the Kalman filter performs an iterative optimal estimation. To take advantage of the enhanced estimation capability, we focus on the problem of channel estimation from a partial channel measurement in the MIMO antenna selection system. We discuss the optimal training sequence design, and also the optimal antenna subset selection for channel measurement based on the statistics. In a highly correlated channel, the estimation works even when the measurements from some antenna elements are omitted at each fading block.
ER -