MATLAB Implementation of QPSK Modulation with BER Analysis
Implementation of QPSK modulation including transmission through Rayleigh and Gaussian channels, with Bit Error Rate (BER) calculation and comparative performance analysis
Explore MATLAB source code curated for "QPSK调制" with clean implementations, documentation, and examples.
Implementation of QPSK modulation including transmission through Rayleigh and Gaussian channels, with Bit Error Rate (BER) calculation and comparative performance analysis
MATLAB simulation of 256-QAM and QPSK modulation schemes, including performance analysis under different channel conditions with BER and throughput comparisons. Implementation covers modulation/demodulation algorithms, signal constellation mapping, and error rate calculations.
A collection of 14 MATLAB signal processing programs including QPSK modulation/demodulation implementations, equalization techniques, OFDM simulations, wavelet transformations, Kalman filtering algorithms, and more with detailed code explanations
Simulation and Bit Error Rate (BER) calculation of QPSK modulation under AWGN and Rayleigh fading channels, complete with comprehensive implementation report and code workflow.
QPSK Simulation - Implementation of QPSK modulation and demodulation using SIMULINK block diagrams with MATLAB code support, featuring modulated signal waveform, demodulated signal waveform, eye diagram, and bit error rate analysis. The MATLAB implementation includes signal generation, modulation/demodulation algorithms, and performance visualization functions.
This program performs bit error rate analysis across a range of SNR values. For each SNR level, it implements: random signal generation with QPSK modulation, Alamouti space-time block coding, transmission through Rayleigh fading channels with AWGN addition, maximum ratio combining at the receiver, and maximum likelihood detection to calculate symbol error rates. The implementation demonstrates that a symbol error rate of 10^-3 corresponds to approximately 12-13 dB SNR, validating the Alamouti scheme's performance in MIMO systems.
MATLAB simulation of MIMO communication system implementing QPSK modulation and Vertical Bell Laboratories Layered Space-Time (V-BLAST) architecture with code implementation details.
MATLAB implementation for analyzing power spectral density and constellation diagrams of QPSK modulation using rectangular and root raised cosine pulses across various signal-to-noise ratio (SNR) channels. The code includes pulse shaping techniques, modulation/demodulation algorithms, and SNR simulation modules. Simply execute the main function to generate all results.
This collection includes simulation implementations for multipath channels, Doppler shift effects, Rayleigh and Rician channel models, along with QPSK modulation/demodulation and interleaving coding techniques. All programs have been thoroughly tested and verified as functional, accompanied by detailed test documentation and simulation graphical results demonstrating channel characteristics and signal processing performance.
Communication system simulation featuring QPSK modulation and demodulation implementation - provides excellent reference value for MATLAB beginners and communication simulation practitioners through practical code examples and algorithm explanations