Implementing Multipath Channel Simulation with MATLAB
Develop a multipath channel simulation in MATLAB to analyze communication performance by calculating bit error rate (BER) through signal transmission modeling.
Explore MATLAB source code curated for "误比特率" with clean implementations, documentation, and examples.
Develop a multipath channel simulation in MATLAB to analyze communication performance by calculating bit error rate (BER) through signal transmission modeling.
This document presents a self-developed simulation workflow for Ricean fading channels, including signal modulation, transmission through Ricean channel, demodulation, and BER calculation to evaluate channel performance, with added code implementation insights.
MATLAB implementation of 4-Pulse Amplitude Modulation (4PAM) using AWGN channel environment, conducting bit error rate simulation across specified signal-to-noise ratio ranges with detailed code workflow explanation
MATLAB simulation implementation analyzing the throughput vs. bit error rate relationship for an improved Type-II selective repeat HARQ mechanism. The simulation features simplified encoding/decoding processes: simulating erroneous bits probabilistically based on BER, with receiver-side error detection based on correctable error thresholds. Each transmitted codeword undergoes error checking using bit error count information - error-free codewords are accepted while erroneous ones trigger retransmission. The algorithm employs an alternating transmission scheme (via alternate value) between information codewords and parity codewords. When parity codewords arrive, the combined codeword (original + parity) undergoes error correction capability verification - successful correction leads to acceptance, otherwise retransmission is requested.
MATLAB simulation code for analyzing Bit Error Rate (BER) performance of four modulation techniques: OFDM, MPSK, MDPSK, and QAM, featuring comprehensive implementation with signal generation, noise modeling, and error calculation algorithms.
Comprehensive analysis of Bit Error Rate performance in Orthogonal Frequency Division Multiplexing (OFDM) systems across varying Signal-to-Noise Ratio (SNR) conditions, featuring MATLAB implementation insights and algorithm explanations
This program implements a complete digital communication system using 16QAM modulation, where a binary source is processed through (7,4) cyclic code for channel coding. The signal undergoes baseband modulation with a raised-cosine roll-off filter before upconversion to a high-frequency channel. Gaussian white noise is added to simulate channel conditions. The receiver employs matched filtering for demodulation, generates constellation diagrams, uses minimum Euclidean distance decoding for decision making, and performs channel decoding. The implementation compares bit error rates with and without channel coding through comprehensive simulation.
When simulating with the rayleighchan function, it is essential to perform phase compensation at the final stage (a critical observation noted by the advisor). The procedural steps involve: generating random sequences, creating a Rayleigh fading channel, modulating the signal, retaining channel characteristics, transmitting the signal through the channel, applying phase compensation, adding Gaussian noise, demodulating the signal, calculating simulated bit error rate (BER), computing theoretical BER, and plotting BER curves in distinct colors for comparative analysis.
Implementing Multipath Channel Simulation in MATLAB to Calculate Bit Error Rate (BER) and Analyze Communication System Performance
Implementation of convolutional code encoding with Viterbi algorithm decoding, including generation of SNR vs BER performance curves with code implementation details.