Digital Communication Systems Using Matlab And Simulink Best

1. Guide Overview

Objective: Build a complete digital transceiver (source to sink) using MATLAB (scripting/data analysis) and Simulink (system-level modeling).

% AWGN channel and demodulation for each SNR point ber = zeros(size(EbNo_dB)); for idx = 1:length(EbNo_dB) rxSignal = awgn(modSignal, EbNo_dB(idx) + 10*log10(2)); % Account for bits/symbol rxSymbols = pskdemod(rxSignal, M, pi/4); rxBits = reshape(de2bi(rxSymbols, 2).', [], 1); [~, ber(idx)] = biterr(dataBits, rxBits); end

Introduction

5.3 Rapid Control Prototyping with DSPs

For ARM Cortex-M or TI C6000 DSPs, Simulink’s Embedded Coder generates optimized C code. This is ideal for:

Best practice: Use MATLAB for analysis and automation. Use Simulink for system architecture and debugging weird analog behavior. Digital Communication Systems Using Matlab And Simulink

4. Practical Simulation Management from MATLAB

Launch Simulink models with parameterized SNR from MATLAB:

Passband (Carrier) Modulation

Introduction

• Random Integer Generator → Rectangular QAM Modulator → AWGN Channel → Raised Cosine Receive Filter → BER Calculator