MATLAB Implementation of Digital Down Converter (DDC) Simulation for Software-Defined Radio

This project implements a Digital Down Converter (DDC) simulation for Software-Defined Radio using MATLAB. The simulation framework allows configuration of various radio signal transmission parameters including modulation schemes (such as QPSK, 16-QAM), channel noise models (Additive White Gaussian Noise), and multipath fading scenarios (using Rayleigh or Rician fading models). Key implementation features include: - Digital mixing operations using trigonometric functions or complex exponentials - Programmable decimation filters with configurable FIR/IIR filter designs - Automatic gain control (AGC) algorithms for signal level normalization - Spectral analysis using FFT-based frequency domain visualization Performance metrics can be evaluated through: - Bit Error Rate (BER) calculations with error detection algorithms - Multipath fading resistance analysis using channel equalization techniques - Signal-to-Noise Ratio (SNR) measurement functions - Computational efficiency profiling for real-time implementation assessment The simulation environment enables comparative analysis between different DDC architectures and parameter optimizations through Monte Carlo simulations. This facilitates deeper understanding of DDC operational principles, digital signal processing techniques, and practical implementation considerations in software-defined radio systems.