Simulation Analysis of QAM Spectrum, Scatter Plot, Eye Diagram, and Bit Error Rate

In this experiment, we conducted detailed simulation analysis of QAM spectrum characteristics, constellation diagrams, eye patterns, and bit error rate using MATLAB programming language. The simulation employed key functions such as qammod() for modulation, awgn() for channel noise addition, and semilogy() for BER curve plotting. Through these simulation results, we gained better understanding of QAM signal performance under various channel conditions, enabling further optimization of system performance. During the simulation process, we considered multiple parameters and conditions, observing their impact on results by systematically adjusting modulation orders, signal-to-noise ratios, and filter characteristics. This experiment provided valuable opportunities to deepen our understanding of QAM modulation techniques' principles and practical applications, including algorithm implementation for signal generation, spectral analysis using FFT, and error rate calculation through Monte Carlo simulation methods.