Digital Communication using GNU Radio

Participants join this course to understand how real-world digital communication systems like mobile networks and wireless devices actually work. It is ideal for learners who want hands-on experience with GNU Radio and hardware radios, not just theory. The course helps build practical skills that are useful for careers in communications, wireless systems, and signal processing.

• Course Introduction

• Introduction to Digital Communication

• Understanding GNU Radio features for Digital Communication: Basic blocks, input and output

• Understanding GNU Radio features for Digital Communication: Advanced blocks, hardware interfacing

• Fundamentals of Digital Communication: Signal processing methods, vectors, and examples (Part 1)

• Fundamentals of Digital Communication: Signal processing methods, vectors, and examples (Part 2)

• Complex Baseband Signal Representation

• Real Passband Signal Representation; Up and Down Conversion of Complex Baseband Signals

• Random Variables and Random Processes

• Fundamentals of Digital Modulation

• Linear Modulation Methods: Amplitude Shift Keying (ASK)

• Linear Modulation Methods: Phase Shift Keying (PSK)

• Linear Modulation Methods: Quadrature Amplitude Modulation (QAM) and Frequency Shift Keying (FSK)

• Pulse Shaping for Inter-Symbol Interference (ISI)-Free Signaling

• ASK using Raised Cosine and Root-Raised Cosine Pulse Shaping

• Basics of Detection: Properties of Gaussian Random Variables

• Basics of Detection: Gaussian Random Vectors and Hypothesis Testing

• Optimal Receivers for M-ary Signaling

• Gram-Schmidt Orthogonalisation

• Optimal Reception of M-ary Signals in AWGN

• Detection and Optimal Decision for On-Off Signaling in AWGN Channel

• Detection and Optimal Decision for M-ary Signaling

• Python for GNU Radio

• Extending GNU Radio Features Using Python

• Constructing and Visualising Constellations Using GNU Radio