450-6020/02 – Software Defined Radio (SDR)
| Gurantor department | Department of Cybernetics and Biomedical Engineering | Credits | 10 |
| Subject guarantor | prof. Ing. Radek Martinek, Ph.D. | Subject version guarantor | prof. Ing. Radek Martinek, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory type B |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FEI, HGF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The aim of the course is to acquaint students with the design and optimization of modern transmission (radio RF and optical OW) systems for the needs of new generation networks based on software defined radio using virtual instrumentation.
Upon completion of this course, students should be able to design, implement, optimize, and verify modern transmission systems based on software-defined radio using virtual instrumentation.
Teaching methods
Lectures
Individual consultations
Project work
Summary
The subject is focused on the use of software defined radio (SDR) and virtual instrumentation (VI) based cognitive radio in the design and optimization of modern transmission systems.
Compulsory literature:
[1] Rohde, U. L., Zahnd, H., & Whitaker, J. C. (2017). Communications receivers: principles and design. McGraw-Hill Education.
[2] Arslan, H. (Ed.). (2007). Cognitive radio, software defined radio, and adaptive wireless systems. Springer Science & Business Media.
[3] Zhang, Y., Zheng, J., & Chen, H. H. (Eds.). (2016). Cognitive radio networks: architectures, protocols, and standards. CRC press.
[4] Hu, F. (Ed.). (2016). Opportunities in 5G networks: A research and development perspective. CRC press.
Recommended literature:
[1] Stewart, R. W., Barlee, K. W., Atkinson, D. S., & Crockett, L. H. (2015). Software defined radio using MATLAB & Simulink and the RTL-SDR. Strathclyde Academic Media.
[2] Grayver, E. (2012). Implementing software defined radio. Springer Science & Business Media.
[3] Spiridon, S. (2016). Toward 5G software defined radio receiver front-ends (Vol. 96). Springer.
Way of continuous check of knowledge in the course of semester
exam
E-learning
Other requirements
There are not defined other requirements for student
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
The subject is focused on:
a) The use of software defined radio (SDR) and virtual instrumentation
(VI) based cognitive radio in the design and optimization of modern transmission systems.
b) Generating and analyzing digitally modulated signals, including SDR-based channel modeling tool using VI.
c) Advanced signal processing methods in modern radio networks - design and optimization of adaptive equalization methods (transmission channel
equalization) using SDR and VI.
d) Implementation of proposed and optimized methods (modulation, coding, equalization, etc.) on real hardware in the form of PXI (PCI eXtensions for Instrumentation) modular system and USRP (Universal Software Radio Peripheral) system based on SDR and VI.
Upon completion of this course, students should be able to design, implement, optimize, and verify modern transmission systems based on software-defined radio using virtual instrumentation.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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