16QAM Modulation Implementation with Performance Analysis

This program implements 16QAM modulation scheme to process a binary signal source. The implementation begins with baseband modulation using raised-cosine roll-off filtering (typically implemented with pulse shaping functions like rcosdesign in MATLAB), followed by upconversion to high-frequency carrier through digital mixing operations. Gaussian white noise (AWGN) is added to simulate channel impairments using functions like awgn or manual noise generation with proper SNR calculation. The receiver employs matched filtering (implemented using the conjugate of the transmit pulse shape) for optimal demodulation. The demodulated constellation diagram is plotted using scatterplot function to visualize signal point distribution and noise impact. Minimum Euclidean distance decoding is implemented through constellation point mapping and distance calculation algorithms (using functions like pdist or custom distance computations) for signal decision making. Finally, bit error rate (BER) is calculated by comparing original and decoded bit sequences, providing quantitative performance assessment of the entire communication chain. This comprehensive approach enables detailed analysis and evaluation of the system's implementation accuracy and operational performance.