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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mengxing Li Weiming Zuo Zemin Liu |
| Copyright Year | 2007 |
| Description | Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing (Mengxing Li) |
| Abstract | A novel scheme to perform multiple input multiple output (MIMO) channel estimation in time-selective fading environments is suggested. In order to improve transmission efficiency, training sequences are arithmetically added to the information symbols. We regard the output of information symbols, additive white noises and dc-offsets at the receiver as fiction measurement noise, whose mean and variance are both unknown. A time-varying measurement noise recursive estimator and Kalman filters cooperate to track the time-varying MIMO channel impulse response (CIR). Finally,it is compared with some existing methods, and all these indicate that the proposal exhibits better performance. |
| Starting Page | 384 |
| Ending Page | 387 |
| File Size | 657020 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424414468 |
| DOI | 10.1109/ISPACS.2007.4445904 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | MIMO Channel estimation Noise measurement Kalman filters Signal processing Additive white noise Working environment noise Fading Recursive estimation Bandwidth dc-offset channel estimation implicit training Kalman filtering |
| Content Type | Text |
| Resource Type | Article |
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