PSK Modulation and Demodulation with Noise Addition

This project focuses on Phase Shift Keying (PSK) modulation and demodulation with noise addition, serving as a course design for communication principles. In this comprehensive project, we will explore fundamental concepts of PSK modulation and demodulation techniques while investigating their performance under noisy channel conditions. The implementation typically involves MATLAB or Python code for generating PSK signals, adding AWGN (Additive White Gaussian Noise) using functions like awgn() or manually calculating SNR-based noise power, and implementing correlation-based detectors or phase-locked loops for demodulation. The course design provides hands-on experience with key digital communication algorithms, including constellation mapping, carrier synchronization, and error probability calculation using Monte Carlo simulations. Through practical implementation of modulation indices, noise variance calculations, and BER (Bit Error Rate) performance analysis, students gain deep understanding of PSK systems' robustness in noisy environments. This project offers valuable insights into real-world communication challenges and prepares students for advanced work in digital signal processing and wireless communication systems. The technical implementation covers important aspects such as: generating baseband signals using digital modulation techniques, implementing I/Q modulators and demodulators, adding controlled noise using random number generators, and analyzing system performance through eye diagrams and constellation plots. This practical approach strengthens theoretical knowledge while developing essential programming skills for communication engineering applications.