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Course unit, curriculum year 2023–2024
COMM.SYS.660

Radio Architectures and Signal Processing, 5 cr

Tampere University
Teaching periods
Course code
COMM.SYS.660
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Lauri Anttila
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Electrical Engineering Studies 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.
Learning outcomes
Prerequisites
Compulsory prerequisites
Recommended prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
The mandatory parts include an exam on the basic contents and mandatory exercises on selected advanced topics.
Completion of all options is required.

Exam

No scheduled teaching

Participation in teaching

No scheduled teaching