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SDR- Software Defined Radio

SDR-Software Defined Radio from Theory to Practice

Lecture by

Dr. Shmuel Miller

at the BMR2017 the Israeli Wireless symposium

Abstract​
A Software-Defined-Radio (SDR) design methodology employing Matlab/Simulink, an RF front-end (FE) and a PC is presented and demonstrated. Analog and digital modulation receiver examples are used to facilitate the flexibility and effectiveness of this approach.

Download the lecture Presentation

Comprehensive and intensive syllabus, advanced learning materials and experienced lecturers means

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  Hands-on Design Exercises-Simulation examples

16QAM constellation after shaped Tx, a noiseless channel and Rx matched-filter.

16QAM Received Constellation

 16QAM eye-pattern (I or Q diagrams are similar) after shaped Tx, a noiseless channel and Rx matched-filter.

16QAM Received Eye Diagram (I or Q)

16QAM Tx Spectrum, after RRC (root-raised cosine)

shaping with α=0.5.

16QAM Transmission Spectrum

16QAM constellation after shaped Tx, an additive-white Gaussian noise (AWGN) channel (Eb/No=13dB) and Rx matched-filter.

16QAM Received Constellation (Eb/No=13dB)

16QAM eye-pattern (I or Q diagrams are similar) after shaped Tx, an additive-white Gaussian noise (AWGN) channel (Eb/No=13dB) and Rx matched-filter.

16QAM Received Eye Diagram (I or Q) (Eb/No=13dB)

 A Simulink overall block-diagram of a 16QAM

Tx – AWGN Channel – Rx system, and bit-error-rate (BER) measurement

16QAM Communications - Overall Block Diagram

Certificate

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Our Certification confirms your enhanced technical skills. This broad comprehension of diverse RF and Microwave topics will enrich your proficiency on diverse categories, including: design, system engineering, testing, SW and HW integration and validation.

Software Defined Radio (SDR) - Course Overview

The course duration is 40 academic hours and will be delivered over 8 meetings of 5 academic hours each. This is a comprehensive and intensive course intended for electrical engineers, system engineers, computer science engineers, signal processing and algorithms developers etc. (see the course syllabus).
The course, is presented by leading technical experts from industry and academia with many years of experience (see Lecturers).
During the first two meetings, led by Dr. Shmuel Miller, the theory background is established:
Designing real world SDR receivers for analog and digital communication systems based on advanced DSP and digital communications theory.
The rest of the 6 sessions are entirely devoted to Simulation examples and hands-on Design Exercises.
These sessions are delivered in a “computers classroom” by two instructors simultaneously: Led by Dr. Miller with the assistance of Mr. Profis.
First the Matlab-Simulink tools are introduced, followed by Simulation examples and Design Cases. Homework exercises contribute to the continuous learning process, and greatly assist in acquiring the analysis and design skills by the participants. Integration RF hardware with a modern simulation environment such as Matlab – Simulink enables implementing and learning SDR by personal experiencing and hands-on self-work!
The provided SDR hardware can be used to acquire and sample RF signals transmissions in the frequency rang 25MHz to 1.75 GHz (via cable or off the air) and the Matlab – Simulink environment is used to develop demodulators and measurement and presentation tools using DSP algorithms.
Modulations covered in this Course include: AM, FM, SSB, OOK, FSK, M-PSK and QAM. The user may receive and analyze the spectrum of signals, including: FM radio, VHF/UHF band signals, ISM signals, GSM, 3G and LTE mobile radio, GPS and satellite signals and any library-signal transmitted in class by the R&S vector signal generator in the above frequency band.
During the course we introduce the participants to SDR signal processing methods by viewing and analyzing down-converted RF signals in the time and frequency domains, and then provide extensive DSP enabled SDR design cases. In addition to signal reception and demodulation the course includes also the theory and implementation of system signal-processing functions including tracking loops (AGC, PLL) in reception, and linearization (in transmission).
simu

Microwave and RF design using Simulation software. Session conducted in a fully equipped computer class and includes practical hands on practicing

Computers Class
demo

A series of thorough and broad hands-on tests accomplished with advanced state-of-the-art laboratory equipment

Lab Class
class

Spacious classroom, Well equipped, Pleasant atmosphere. Coffee and refreshments , Easy access location, Free parking

Frontal Class

Lab tests:

  • Power measurements by several detectors (incl. peak, ave. and RMS)
  • Sensitivity measurements (for QAM and Pulse signals) with averaging (using varying BV and screens averaging)
  • Phase noise measurement of a frequency source
  • Measurement of NF (of an amplifier and SSBNF of a mixer)
  • Peak-to-Average measurement (PAPR)
  • Measurement of third-order intercept point (IP3) and SFDR
Spectrum Analyzer

Lab tests:

  • Basic calibration
  • Improved calibration (suitable for reject band of filters)
  • Measurement of BPF (S-parameters, Phase and delay response)
  • Measurement of an Amplifier (AM/AM, AM/PM, 1dB comp., Harmonics)
  • Measurement of load mismatch, and perform Single-Stub matching
Vector Network Analyzer-VNA

Lab tests:

  • Perform a broadband calibration (de-embedding)
  • EVM tests
  • Measurement of I-Q imbalance and IR (image-rejection)
  • BER measurement
  • Measurement PAPR of a detailed-QAM-constellation
  • Measurement of BW and ACPR
  • Measurement of emission mask-compliance for a WCDMA signal without and with an amplifier
Vector Signal Analyzer-VSA

Learning Management System (LMS)

Delivery of e-Learning content (including mobile), Assignments, Quizzes and Grades.
Administration, Documentation, Progress and Performance tracking, Assessment and extensive Reporting

Explore CommTech’s LMS wide range of features and available resources

Desktop, mobile, and tablet access

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Comprehensive and intensive syllabus, advanced learning materials and experienced lecturers means

More Knowledge, in Less Time, at Lower Cost