Abstract
This paper considers distributed closed-loop extended orthogonal space-time block coding (EO-STBC) for amplify-forward relaying over time-varying channels. In between periodically injected pilot symbols for training, the smooth variation of the fading channel coefficients is exploited by Kalman tracking. We show in this paper that the joint variation of both relay channels still motivates the use of a higher-order auto-regressive model for the a priori prediction step within a decision-feedback system, compared to a first-order standard Kalman model. Simulations results compare these two case and highlight the benefits of the proposed higher-order Kalman filter, which offer joint decoding and tracking.
Original language | English |
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Pages | 1-4 |
Number of pages | 4 |
Publication status | Published - 17 Dec 2012 |
Event | 9th IMA International Conference on Mathematics in Signal Processing - Birmingham, United Kingdom Duration: 17 Dec 2012 → 20 Dec 2012 |
Conference
Conference | 9th IMA International Conference on Mathematics in Signal Processing |
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Country/Territory | United Kingdom |
City | Birmingham |
Period | 17/12/12 → 20/12/12 |
Keywords
- closed-loop
- EO-STBC
- time-varying
- relay channel based
- kalman tracking