Explore MATLAB source code curated for "信道估计" with clean implementations, documentation, and examples.
A MATLAB implementation for simulating the minimum mean square error between estimated channels and true channels obtained through channel estimation algorithms, featuring various estimation techniques and performance analysis.
OFDM: Orthogonal Frequency Division Multiplexing (OFDM) serves as the core technology for fourth-generation mobile communications. This article provides a concise introduction to OFDM fundamentals, with primary focus on analyzing how guard intervals (CP) and various channel estimation methods impact OFDM system performance under both Gaussian channels and multipath Rayleigh fading channels under ideal synchronization conditions. Based on the OFDM system model presentation, we implement complete computer simulations using MATLAB with reference design code, including detailed explanations of key algorithms and implementation approaches.
Original MATLAB code for channel estimation in MIMO systems, featuring implementation details and algorithm explanations
This MATLAB function library implements core OFDM components including signal mapping, inverse/forward DFT operations, synchronization algorithms (time and frequency), channel estimation techniques, and frequency offset compensation methods with modular code structure.
Simulation-based evaluation of pilot-assisted channel estimation in OFDM systems, featuring comparative performance analysis through MATLAB/Python implementations with visualization of results.
MATLAB Implementation for MIMO-OFDM Channel Estimation with Algorithm Explanations
This study focuses on OFDM system performance evaluation through Simulink simulations in a three-path Rayleigh fading channel environment. Three key aspects are investigated: (1) Pilot-assisted channel estimation with BPSK modulation, analyzing BER performance and MSE curves; (2) Cyclic prefix-based time synchronization assuming frequency synchronization; (3) Cyclic prefix-based frequency synchronization assuming time synchronization. The implementation includes performance curve generation for SNR vs. estimation error, BER, acquisition probability, and frequency synchronization error.
This MATLAB implementation of the Greedy Matching Pursuit (MP) algorithm is designed for channel estimation and related signal processing applications in wireless communications.
A channel estimation implementation for MIMO-OFDM systems featuring a 2x2 antenna configuration, designed with extensible architecture for custom modifications such as additional antennas or increased system dimensionality
A comprehensive OFDM simulation program featuring QPSK modulation, channel estimation, and technical discussion for collaborative improvement