BPSK and QPSK Modulation and Demodulation System Implementation

Resource Overview

1) Develop MATLAB simulation programs for both BPSK and QPSK modulation-demodulation systems with specifications: l Transmit and receive filters implement root-raised-cosine roll-off filtering; l Channel noise modeled as additive white Gaussian noise (AWGN). 2) Plot bit error rate (BER) versus signal-to-noise ratio (SNR) curves for BPSK and QPSK modulation schemes and compare with theoretical performance curves.

Detailed Documentation

1) Develop separate MATLAB simulation programs for BPSK and QPSK modulation-demodulation systems with the following implementation requirements: - Implement root-raised-cosine (RRC) roll-off filters for both transmit and receive filtering operations - Model channel noise using additive white Gaussian noise (AWGN) simulation - Incorporate multipath fading channel effects and implement equalization processing during modulation and demodulation stages 2) Generate BER versus SNR performance curves for both BPSK and QPSK modulation schemes and conduct comparative analysis with theoretical BER curves. The implementation should include SNR sweeping across a defined range and statistical BER calculation using Monte Carlo simulation methods. 3) Perform comparative analysis of performance differences between BPSK and QPSK modulation techniques, investigating factors such as bandwidth efficiency, power efficiency, and robustness to noise. The analysis should include quantitative comparisons of BER performance under identical channel conditions. 4) Investigate BER variation trends across different SNR values and derive relevant conclusions about system performance optimization. The study should examine threshold effects, error floor phenomena, and practical implementation limitations for both modulation schemes in wireless communication scenarios.