Digital Communication Systems Using Matlab And Simulink [top] -

Digital Communication Systems modeling in MATLAB and Simulink focuses on bridging the gap between theoretical signal processing and real-world system design. Engineers and students use these tools to simulate end-to-end communication links, from source encoding to signal recovery, while accounting for environmental impairments. Core Components of Simulation

% Compute BER [~, ber(idx)] = biterr(data, rxBits);

References

• Carrier frequency: 100 MHz
• Data rate: 1 Mbps
• Channel noise: Additive white Gaussian noise (AWGN)

• Receiver architecture and decision rules
• BER/FER simulation: methods for accurate estimation and confidence intervals
• Link budget basics and Eb/N0 calculations
• Monte Carlo simulations in MATLAB; speeding up with vectorization and parallel computing

• HDL Coder translates Simulink blocks (e.g., Viterbi decoder, DDS, FIR filter) into VHDL/Verilog. This has been used to implement entire DVB-S2X modulators on Xilinx RFSoC devices.
• MATLAB Coder converts modulation/demodulation algorithms into C/C++ for ARM processors or GPU acceleration.

5.1 Software-Defined Radio (SDR)

MATLAB supports popular SDR platforms like: Digital Communication Systems Using Matlab And Simulink

• Overview of digital communication systems
• Role of MATLAB & Simulink in teaching and prototyping
• Learning objectives and prerequisites