Digital-Comm---Line-Codes

A digital communication project that aims to insinuate various line codes and their properties from an ensemble.

Overview

This project explores the implementation of a software-defined radio system. The fundamental characteristic of a software radio is that the software defines the transmitted waveforms and demodulates the received waveforms. This approach contrasts with traditional radios, which rely on analog circuitry or a combination of analog and digital processing. The project focuses on generating, analyzing, and processing line codes used in digital communications.

Project Objectives

1. Transmission and Line Coding:

• Implement transmission using different line coding techniques, including Unipolar Signaling, Polar Non-Return to Zero (NRZ), and Return to Zero (RZ).
• Convert binary data into a corresponding voltage level using MATLAB code and simulate the transmission over time.

2. Random Process Analysis:

• Generate an ensemble of 500 waveforms, each containing 100 bits, using the specified line codes.
• Compute and analyze the statistical mean, time mean, and autocorrelation functions.
• Investigate the stationarity and ergodicity of the random process.
• Determine the bandwidth of the transmitted signal.

Implementation Details

The implementation involves the following steps:

1. Data Preparation:

• Binary data is prepared and converted into voltage levels using MATLAB.

2. Transmission Simulation:

• The code maps binary '1' to a positive voltage level (+A) and binary '0' to a negative voltage level (-A) in Polar NRZ signaling.
• The generated waveforms simulate the process of Digital-to-Analog Conversion (DAC) in real-time transmission.

3. Ensemble Generation:

• 500 waveforms are generated for each line coding technique.
• Each waveform starts from a random initial time shift to simulate real-world randomness.

4.Statistical Analysis:

• The project calculates the statistical mean, autocorrelation functions, and assesses whether the process is stationary or ergodic.
• Bandwidth analysis is conducted to understand the spectral characteristics of the transmitted signals.

Project Structure

• Scripts/: MATLAB scripts for generating waveforms, analyzing statistics, and plotting results.
• Results/: Output files including plots of waveforms, statistical analyses, and bandwidth calculations.

Acknowledgments

• Cairo University, Faculty of Engineering, Electronics and Communications Dept.