Performance Comparison of QPSK and 16QAM under Rayleigh Channel and AWGN Channel
Comparative analysis of QPSK and 16QAM modulation schemes in Rayleigh fading and additive white Gaussian noise (AWGN) channel conditions
Explore MATLAB source code curated for "高斯白噪声信道" with clean implementations, documentation, and examples.
Comparative analysis of QPSK and 16QAM modulation schemes in Rayleigh fading and additive white Gaussian noise (AWGN) channel conditions
Digital communication simulation program featuring Bit Error Rate (BER) analysis for BPSK modulation over Additive White Gaussian Noise (AWGN) channels, including comprehensive MATLAB code implementation details.
Simulation of OFDM transmission over Additive White Gaussian Noise (AWGN) channel, including full transceiver chain implementation and Bit Error Rate (BER) performance analysis with MATLAB code examples.
Mathematical expression for Bit Error Rate calculation and MATLAB simulation files for 16QAM modulation scheme operating in Additive White Gaussian Noise (AWGN) channel environment
A MATLAB-based frequency hopping communication system simulation utilizing an additive white Gaussian noise (AWGN) channel model
System simulation of PPM-modulated ultra-wideband signals transmitted through an additive white Gaussian noise channel, presenting time-domain and frequency-domain plots with MATLAB implementation details
A Python/Matlab implementation of 16PSK modulation and demodulation system featuring constellation diagram plotting and AWGN channel simulation with enhanced error detection capabilities
This MATLAB code generates a 16QAM signal, passes it through an AWGN channel, applies constant modulus algorithm (CMA) blind equalization, and outputs constellation diagrams and convergence plots with detailed implementation insights.
This technical implementation guide covers generating random 0/1 binary sequences and modulating them using 2ASK, 2FSK, 2PSK, and 2DPSK techniques onto higher carrier frequencies. The guide includes code implementation strategies for generating time-domain waveforms for the first 8 bits, creating coherent and non-coherent demodulator block diagrams after Gaussian white noise channel transmission, and deriving mathematical expressions for pre-decision observation values. The implementation explains why certain modulation schemes cannot support non-coherent demodulation and provides comprehensive BER analysis with MATLAB simulation code for different SNR values.
A direct sequence spread spectrum communication system with interference, where PN codes are generated using m-sequence generators and transmitted through an additive white Gaussian noise (AWGN) channel. The received signal at the receiver comprises "useful signal + AWGN + interference." The system performs despreading and decision operations to recover user signals. Key implementation aspects include generating m-sequences using linear feedback shift registers (LFSRs), implementing correlation-based despreading algorithms, and employing threshold detection for signal decisions. The system demonstrates bit error rate (BER) performance versus Eb/N0 ratio under different spreading gains (10, 30, 50), showing how processing gain affects interference rejection capability.