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）...
| Published in: | Tongxin xuebao |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | Chinese |
| Published: |
Editorial Department of Journal on Communications
2007-01-01
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| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails?columnId=74661114&Fpath=home&index=0 |
| Summary: | 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. |
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| ISSN: | 1000-436X |