BPSK Modulation and Demodulation
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Resource Overview
MATLAB M-file implementation for BPSK modulation and demodulation with BER calculation under additive white Gaussian noise conditions, featuring signal generation, noise addition, and error rate analysis.
Detailed Documentation
BPSK modulation and demodulation M-file implements a fundamental digital modulation technique that converts digital signals into analog waveforms for transmission. The system incorporates additive white Gaussian noise (AWGN) to simulate realistic channel impairments in communication environments. Bit Error Rate (BER) serves as a critical performance metric for digital communication systems, representing the probability of erroneous bit detection during transmission. By calculating BER curves across different signal-to-noise ratio (SNR) conditions, this implementation enables comprehensive performance evaluation of BPSK systems.
The code typically includes three main components: modulation using phase shifting (0° and 180° for binary 0 and 1), AWGN channel simulation using MATLAB's awgn function, and demodulation with coherent detection. Key algorithms involve symbol mapping, matched filtering, and threshold-based decision making. The BER calculation compares transmitted and received bit sequences using logical operations to count discrepancies, providing quantitative analysis of system robustness under various noise conditions.
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