MIMO iterative channel estimation based on extended Kalman filter

In high-speed environment,fast fading and non-stationary limits the channel estimation performance,so a channel estimation method for high-speed mobility in MIMO downlink was proposed.A self-feedback extended Kalman filter (EKF) was set up to track the channel response and correlation parameters.An...

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Main Authors: Mingfu LI, Yong LIAO, Xuanfan SHEN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-09-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017206/
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author Mingfu LI
Yong LIAO
Xuanfan SHEN
author_facet Mingfu LI
Yong LIAO
Xuanfan SHEN
author_sort Mingfu LI
collection DOAJ
description In high-speed environment,fast fading and non-stationary limits the channel estimation performance,so a channel estimation method for high-speed mobility in MIMO downlink was proposed.A self-feedback extended Kalman filter (EKF) was set up to track the channel response and correlation parameters.An iterative detector & decoder receiver was adopted to deal with the problem that the observation equation is an underdetermined equation.The simulation results show that compared with least squares(LS) in high speed environment,the proposed method improves the channel estimation accuracy and performance of whole system.And it could be applied in baseband signal processing of wireless receiver in high-speed train.
format Article
id doaj-art-d3dc0b5fa0684c0384364cdaa19829bc
institution DOAJ
issn 1000-0801
language zho
publishDate 2017-09-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-d3dc0b5fa0684c0384364cdaa19829bc2025-08-20T02:42:28ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-09-013310010759600204MIMO iterative channel estimation based on extended Kalman filterMingfu LIYong LIAOXuanfan SHENIn high-speed environment,fast fading and non-stationary limits the channel estimation performance,so a channel estimation method for high-speed mobility in MIMO downlink was proposed.A self-feedback extended Kalman filter (EKF) was set up to track the channel response and correlation parameters.An iterative detector & decoder receiver was adopted to deal with the problem that the observation equation is an underdetermined equation.The simulation results show that compared with least squares(LS) in high speed environment,the proposed method improves the channel estimation accuracy and performance of whole system.And it could be applied in baseband signal processing of wireless receiver in high-speed train.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017206/multiple input multiple outputorthogonal frequency division multiplexinghigh-speed mobility,non-stationary channel estimationextended Kalman filter
spellingShingle Mingfu LI
Yong LIAO
Xuanfan SHEN
MIMO iterative channel estimation based on extended Kalman filter
Dianxin kexue
multiple input multiple output
orthogonal frequency division multiplexing
high-speed mobility,non-stationary channel estimation
extended Kalman filter
title MIMO iterative channel estimation based on extended Kalman filter
title_full MIMO iterative channel estimation based on extended Kalman filter
title_fullStr MIMO iterative channel estimation based on extended Kalman filter
title_full_unstemmed MIMO iterative channel estimation based on extended Kalman filter
title_short MIMO iterative channel estimation based on extended Kalman filter
title_sort mimo iterative channel estimation based on extended kalman filter
topic multiple input multiple output
orthogonal frequency division multiplexing
high-speed mobility,non-stationary channel estimation
extended Kalman filter
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017206/
work_keys_str_mv AT mingfuli mimoiterativechannelestimationbasedonextendedkalmanfilter
AT yongliao mimoiterativechannelestimationbasedonextendedkalmanfilter
AT xuanfanshen mimoiterativechannelestimationbasedonextendedkalmanfilter