Blind Multiuser Detection Using LMS Algorithm
Implementation of blind multiuser detection using the LMS algorithm with computation of signal-to-interference ratio and bit error rate
Explore MATLAB source code curated for "误码" with clean implementations, documentation, and examples.
Implementation of blind multiuser detection using the LMS algorithm with computation of signal-to-interference ratio and bit error rate
Simulation of trellis-coded 16QAM modulation validating coding gain and bit error rate performance through MATLAB implementation
Comprehensive OFDM program suite including modulation, demodulation, BER testing, eye diagram analysis, power spectrum analysis with MATLAB/Python code implementation examples
Using MATLAB simulation software, this project implements a fundamental 16QAM digital communication system as shown in Figure 1. The system generates equally distributed random binary signals (0s and 1s), maps them to 16QAM constellation points, and separates the signal into in-phase (real) and quadrature (imaginary) components. Both components undergo root-raised-cosine (RRC) filtering, experience additive white Gaussian noise (AWGN) channel impairment, and pass through matched RRC filters. The final stage involves sampling, decision-making, and comparison with original signals to calculate the bit error rate (BER) for the 16QAM digital system.