MATLAB Code Implementation for BPSK Bit Error Rate Simulation
A comprehensive BPSK bit error rate simulation program featuring signal generation, additive white Gaussian noise (AWGN) integration, and BER calculation algorithms
Explore MATLAB source code curated for "BPSK" with clean implementations, documentation, and examples.
A comprehensive BPSK bit error rate simulation program featuring signal generation, additive white Gaussian noise (AWGN) integration, and BER calculation algorithms
This source code implements a comprehensive simulation of OFDM communication system performance. The simulation supports multiple modulation schemes including BPSK, QPSK, MSK, and QAM, and models both AWGN and Rayleigh channels. Additionally, it includes a specialized simulation for IEEE802.11a-compliant OFDM systems with pilot insertion for enhanced performance. The code structure implements key OFDM components such as IFFT/FFT operations, cyclic prefix addition/removal, and channel equalization algorithms.
A simple MATLAB implementation of BPSK, QPSK, and QAM16 modulation and demodulation, particularly suitable for beginners with code examples and performance analysis
Comparative Bit Error Rate Analysis of BPSK and 16-QAM modulation techniques over AWGN channels, including receiver implementation and comprehensive examination of 16-QAM modulation/demodulation principles with MATLAB code implementation examples
Source code implementation of BPSK modulation with Gardner algorithm for timing synchronization, featuring clock recovery and signal demodulation
Comprehensive guide to BPSK binary phase modulation including theoretical principles and complete MATLAB source code for simulation, featuring digital signal processing implementation and performance analysis
OFDM simulation program in Gaussian channel implementing BPSK, QPSK, 16QAM, and 64QAM modulation techniques with performance comparison analysis
This program simulates V-BLAST systems and their detection algorithms, supporting BPSK, QPSK, 16QAM, and 64QAM modulation schemes. The implemented detection algorithms include ML (Maximum Likelihood), MMSE (Minimum Mean Square Error), ZF (Zero Forcing), and SIC-ZF (Successive Interference Cancellation with Zero Forcing). The code structure modularizes key components such as modulation mapping, channel matrix generation, and detection modules for flexible performance comparison.
Complete OFDM system modeling implementation including main program with OFDM modulation and demodulation modules supporting BPSK, QPSK, 16QAM, and 64QAM schemes. The main program features cyclic prefix addition, windowing processing, spectrum analysis, PAPR calculation, and BER statistics with comprehensive code implementation details.
This comprehensive MATLAB implementation demonstrates digital modulation schemes including BPSK, QPSK, and 16QAM over AWGN channels, featuring complete BER (Bit Error Rate) calculation processes. The code also incorporates OFDM transmission simulations to extend practical applications in wireless communication systems.