通信 Resources

Showing items tagged with "通信"

I've noticed some colleagues searching for resources on Monte Carlo simulation applications in communications. Since this method is widely used across communication systems for performance analysis and algorithm validation, I'm sharing my collected materials which include practical MATLAB/Python implementation examples, probability modeling techniques, and error rate evaluation frameworks.

MATLAB 234 views Tagged

Application Context: Applied to signal detection at the receiver end of communication MIMO systems. For received signals, detection and estimation are required to determine the estimated values of transmitted source symbols and compute error probabilities. Key Technologies: ZF detection algorithm and MMSE detection algorithm, implemented with matrix inversion and optimization techniques to enhance signal recovery accuracy.

MATLAB 227 views Tagged

Genetic Algorithm Implementation for TDOA Localization with Multiple Test Analysis - This project contains several core modules: program (main controller for multiple test iterations), definition_constant (parameter configuration), main_program (single trial execution), all_Noise (noise-corrupted TDOA calculation), and gen_ini_pop_arr (chromosome population initialization). The system performs account_test trials to find optimal chromosomes for each test while computing mean value (MV) and mean squared error (MSE) metrics.

MATLAB 233 views Tagged