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Opintojakso, lukuvuosi 2023–2024
COMM.SYS.660
Radio Architectures and Signal Processing, 5 op
Tampereen yliopisto
- Kuvaus
- Suoritustavat
Opetusperiodit
Koodi
COMM.SYS.660Opetuskieli
englantiLukuvuodet
2021–2022, 2022–2023, 2023–2024Opintojakson taso
Syventävät opinnotArvosteluasteikko
Yleinen asteikko, 0-5Vastuuhenkilö
Vastuuopettaja:
Lauri AnttilaVastuuorganisaatio
Informaatioteknologian ja viestinnän tiedekunta 100 %
Järjestävä organisaatio
Sähkötekniikan opetus 100 %
Core content
- RECEIVER ARCHITECTURES:
- Basic architectures of communications receivers: superheterodyne, direct-conversion, low-IF;
- Effects of non-idealities in practical analog implementations: I/Q imbalance, nonlinearities, noise, phase noise, spurious responses;
- System calculation principles;
- The significance of RF specifications of mobile communication systems on the specs of the signal processing blocks;
- Flexible multistandard receiver structures and flexible spectrum use, software defined radio and cognitive radio concepts. - TRANSMITTERS:
- Basic transmitter structures;
- Co-existence of transmitters and receivers, impact of duplexing methods;
- Effects of power amplifier nonlinearities and linearization principles. - FREQUENCY SYNTHESIS:
- The principles and analysis of key performance characteristics of main frequency synthesis methods;
- Direct digital synthesis. - MULTIRATE DSP:
- Principles of multirate signal processing and extensions to bandpass and complex (I/Q) cases;
- Review of efficient realization structures: polyphase structure, CIC filters;
- Continuous-time, discrete-time, and multirate signal processing in case of complex (I/Q) and bandpass signals;
- Sampling of bandpass signals and I/Q signals, sampling and ADC requirements regarding resolution and sampling jitter;
- Delta-sigma A/D-conversion principle;
- Efficient DSP algorithms for communications receivers. - SYNCHRONIZATION:
- Requirements and methods for carrier and symbol synchronization;
- Maximum Likelihood estimation theory in synchronization;
- All-digital synchronization principles;
- Principle of polynomial interpolation and its applications in communications signal processing. - DSP-ENHANCED RADIO:
- Use of statistical DSP for compensation of certain non-idealities of the analog parts (I/Q imbalance, nonlinearities, phase noise);
- Power amplifier modeling, linarization methods, digital predistortion.
Complementary knowledge
- Efficient all-digital synchronization algorithms; Cramer-Rao bound for the performance of synchronization algorithms.
- Realizations structures and design methods for polynomial interpolation.
- More extensive analysis of the used statistical DSP methods and detailed signal models.
Osaamistavoitteet
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Suoritustapa 1
The mandatory parts include an exam on the basic contents and mandatory exercises on selected advanced topics.
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