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# this project is to model a digital communication system using MATLAB Design an end-to-end digital communication system with the following blocks using MATLAB

INSTRUCTIONS TO CANDIDATES

Project Description – Modelling Digital Communication Systems

The objective of this project is to model a digital communication system using MATLAB. Note that it is an individual task.

The main resource that we will be using is the Communication Systems toolbox and the documentation that comes with it.

The channel encoder adds redundancy bits to the information bits so that the system can perform error correction and detection. The modulator converts the encoded bits into a format appropriate for channel transmission. The demodulator performs the reverse operation. The channel can be wired channels such as twisted pair cable or optical fiber or can be a wireless medium. The channel introduces distortion, noise, and interference. The channel decoder decodes the received encoded message and recovers the received copy of the transmitted sequence.

MATLAB Communication Toolbox provides many functions and tools to model and analyze communication systems. The user’s guide and online help have several examples.

Complete the following tasks using MATLAB.

Design an end-to-end digital communication system with the following blocks using MATLAB

1. Source

2. Digital Modulator (BPSK, QPSK, 16-QAM)

3. AWGN Channel

4. Demodulator

5. Error comparison and evaluate the probability of

Produce a preliminary report of your work and submit that by 10th of May. Use a standard report format. In your report, compare the simulated probability of error (bit error) with theoretical results.

1. Study eye diagrams of the above system for various Eb/No

2. Add error control coding to the system using convolutional codes (add both error control coder and a decoder). Repeat this for BPSK, QPSK and 16-QAM modulation

Use the convolutional code with constraint length 7 and polynomials [171, 133] (a rate ½ code with no puncturing) for all of the following tasks. (Alternatively, you may use rate ½ K=5 and a generator polynomial of G=[32, 25].)

Final Report

Prepare the final report by combining the results of both Tasks 1 and 2 using a standard format. The final report should include BER Vs EbNo results for systems that include error control coding.

A guide for the final report would be

1. Introduction

2. Components of Communication System (modulator/demodulator, error control coder and decoder, etc. and briefly describe functions of each)

3. Modelling of Communication Systems using MATLAB

4. Results (include BER vs EbNo curves for all cases, Eye diagrams for all modulation methods).

5. Conclusion (discuss your experience in using MATLAB for modelling of communication system, its usefulness, difficulties, and also results of your MATLAB work/results).

Explain your MATLAB code in the Section where you discuss modelling. It is better if you could add MATLAB code to an appendix and then refer to that in your discussion.

vUWS submission link. Ideally, you should be able to prepare a single MATLAB file with all the tasks, if it is convenient you may prepare separate MATLAB files (e.g. one file for BPSK, another for QPSK, etc.). Include all MATLAB code as a separate zip file and submit that via vUWS along with your final report.

Marking

There will no marks for the preliminary report – this is for you to get feedback on your work. The marking criteria given in the learning guide will be used for marking.

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