Synchronization and Equalization in Digital Communications
Kód | Zakončení | Kredity | Rozsah | Jazyk výuky |
---|---|---|---|---|
AE0M37SEK | Z,ZK | 4 | 3P+1S | anglicky |
- Garant předmětu:
- Přednášející:
- Cvičící:
- Předmět zajišťuje:
- katedra radioelektroniky
- Anotace:
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We explain principles of the receiver signal processing (synchronization and equalization) for the parametric channel including variety of the implementation possibilities. We focus on the essential particular forms of the channel phase, frequency and timing parameterization, channels with multipath propagation and MIMO channels. We develop the ideas of synchronization and equalization in the context of the data decoding in the parametric channel. All basic categories of the CSE algorithms are targeted: feed-forward, feed-back, iterative and recursive, including the theoretical background of the parameter estimation theory, and theory of the feed-back and iterative systems.
Výsledek studentské ankety předmětu je zde: http://www.fel.cvut.cz/anketa/aktualni/courses/AE0M37SEK
- Požadavky:
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moodle.kme.fel.cvut.cz
- Osnova přednášek:
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1. Synchronization and equalization in the context of the data decoding in the parametric channel.
2. Suboptimal methods of demodulation - differential, non-coherent.
3. General principles, structures, and properties of the channel state estimation.
4. Elements of the parameter estimation theory and optimal filtration (ML, MAP, MSE, LS, Kalman, RLS). Performance properties. Sufficient statistics.
5. Application of the parameter estimation theory on the synchronization-equalization problem.
6. Theory of the feed-back systems - equivalent model
7. Theory of the feed-back systems -linear analysis.
8. Theory of the feed-back systems -nonlinear analysis.
9. Iterative channel state estimators with the decoder soft-information measure aid (turbo synchronization).
10. Carrier (phase, frequency) synchronization algorithms.
11. Symbol timing synchronization algorithms.
12. Frame synchronization.
13. Equalization algorithms (linear / MSE, LMS, Kalman, RLS, nonlinear - DFE) for the multipath
14. Channel state estimators for MIMO systems.
- Osnova cvičení:
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1. Decoder in the parametric channel - marginalization of the channel parameter. Differential demodulator.
2. Implementation and performance properties of ML, MSE, LS estimators.
3. Equivalent model of the feed-back system (verification by the simulation).
4. Performance of the feed-back synchronizer (linear/nonlinear).
5. Implementation of the carrier (phase-frequency) synchronizer.
6. Implementation of the symbol timing synchronizer.
7. Evaluation of the projects.
- Cíle studia:
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Students learn pronciples of signal processing related to radio reception
- Studijní materiály:
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1. Mengali, U., D'Andrea, A. N.: Synchronization Techniques for Digital Receivers. Plenum Press. 2013
2. S. M. Kay: Fundamentals of statistical signal processing-estimation theory, Prentice-Hall 1993
3. S. M. Kay: Fundamentals of statistical signal processing-detection theory, Prentice-Hall 1998
- Poznámka:
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Rozsah výuky v kombinované formě studia: 21p+3s
- Další informace:
- http://www.radio.feld.cvut.cz/courses/A-SEK/
- Pro tento předmět se rozvrh nepřipravuje
- Předmět je součástí následujících studijních plánů: