Channel estimation method for MIMO-OFDM systems based on pilots and modified Kalman filter

A combined channel estimation method of time-frequency-selective fading channels in MIMO-OFDM systems was proposed.The time-varying channel was modeled as an autoregressive(AR) process and a low-dimensional Kalman filter based on pilots was used to estimate the AR parameters,and the LS(least square)...

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Main Authors: SONG Tie-cheng, YOU Xiao-hu, SHEN Lian-feng, SONG Xiao-jin
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2007-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74661114/
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author SONG Tie-cheng
YOU Xiao-hu
SHEN Lian-feng
SONG Xiao-jin
author_facet SONG Tie-cheng
YOU Xiao-hu
SHEN Lian-feng
SONG Xiao-jin
author_sort SONG Tie-cheng
collection DOAJ
description A combined channel estimation method of time-frequency-selective fading channels in MIMO-OFDM systems was proposed.The time-varying channel was modeled as an autoregressive(AR) process and a low-dimensional Kalman filter based on pilots was used to estimate the AR parameters,and the LS(least square) algorithm was adopted to track the time-varying channel fading factors.The Kalman estimator explored the time-domain correlation of the channel,and a minimum mean square error(MMSE) combiner was used to modify the Kalman estimates.The proposed solution could reduce the complexity of the high-dimensional Kalman filter and track the channel both in frequency and time domains.The simulation results show that this method improves the LS estimates and has a comparable performance to the com-plex high-dimensional Kalman channel estimation method.
format Article
id doaj-art-969f986395fe41ad9cd84e10b9b420e6
institution Kabale University
issn 1000-436X
language zho
publishDate 2007-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-969f986395fe41ad9cd84e10b9b420e62025-01-14T08:36:49ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-01232874661114Channel estimation method for MIMO-OFDM systems based on pilots and modified Kalman filterSONG Tie-chengYOU Xiao-huSHEN Lian-fengSONG Xiao-jinA combined channel estimation method of time-frequency-selective fading channels in MIMO-OFDM systems was proposed.The time-varying channel was modeled as an autoregressive(AR) process and a low-dimensional Kalman filter based on pilots was used to estimate the AR parameters,and the LS(least square) algorithm was adopted to track the time-varying channel fading factors.The Kalman estimator explored the time-domain correlation of the channel,and a minimum mean square error(MMSE) combiner was used to modify the Kalman estimates.The proposed solution could reduce the complexity of the high-dimensional Kalman filter and track the channel both in frequency and time domains.The simulation results show that this method improves the LS estimates and has a comparable performance to the com-plex high-dimensional Kalman channel estimation method.http://www.joconline.com.cn/zh/article/74661114/MIMO-OFDMchannel estimateKalmanleast squareMMSE combiner
spellingShingle SONG Tie-cheng
YOU Xiao-hu
SHEN Lian-feng
SONG Xiao-jin
Channel estimation method for MIMO-OFDM systems based on pilots and modified Kalman filter
Tongxin xuebao
MIMO-OFDM
channel estimate
Kalman
least square
MMSE combiner
title Channel estimation method for MIMO-OFDM systems based on pilots and modified Kalman filter
title_full Channel estimation method for MIMO-OFDM systems based on pilots and modified Kalman filter
title_fullStr Channel estimation method for MIMO-OFDM systems based on pilots and modified Kalman filter
title_full_unstemmed Channel estimation method for MIMO-OFDM systems based on pilots and modified Kalman filter
title_short Channel estimation method for MIMO-OFDM systems based on pilots and modified Kalman filter
title_sort channel estimation method for mimo ofdm systems based on pilots and modified kalman filter
topic MIMO-OFDM
channel estimate
Kalman
least square
MMSE combiner
url http://www.joconline.com.cn/zh/article/74661114/
work_keys_str_mv AT songtiecheng channelestimationmethodformimoofdmsystemsbasedonpilotsandmodifiedkalmanfilter
AT youxiaohu channelestimationmethodformimoofdmsystemsbasedonpilotsandmodifiedkalmanfilter
AT shenlianfeng channelestimationmethodformimoofdmsystemsbasedonpilotsandmodifiedkalmanfilter
AT songxiaojin channelestimationmethodformimoofdmsystemsbasedonpilotsandmodifiedkalmanfilter