Explore MATLAB source code curated for "信道估计" with clean implementations, documentation, and examples.
An excellent MATLAB simulation program for channel estimation using compressed sensing techniques, featuring practical implementation with detailed algorithm explanations and key function descriptions for researchers and engineers.
OFDM simulation program implementing and comparing various channel estimation methods including LS, MMSE, LMMSE, and DCT approaches, with the main program named "ofdm" controlling the complete simulation workflow.
This MATLAB m-file implements a 2x2 MIMO-OFDM system evaluation with channel estimation based on Mean Square Error (MSE) calculation. The implementation includes signal processing routines for orthogonal frequency division multiplexing with multiple antennas.
Application Context: Channel modeling in communication systems, performing LS channel estimation via CE-BEM. This approach provides a simpler implementation compared to previously shared code. Key Technology: Utilizing CE-BEM model for time-varying channel estimation with enhanced computational efficiency.
An OFDM simulation system operating in multipath channels, incorporating encoding, mapping, interleaving, and modulation processes. The system implements decision feedback methodology for channel estimation with integrated error correction and signal processing components.
Compressed sensing-based channel estimation simulation code with IEEE publication, featuring sparse signal recovery algorithms and measurement matrix implementations
Comprehensive simulation of OFDM channel estimation techniques including Least Squares (LS) and Minimum Mean Square Error (MMSE) algorithms with complete MATLAB implementation
Comparison of MSE performance in OFDM channel estimation, detailing simulation performance evaluations of several classical algorithms with implementation insights
This code demonstrates how compressed sensing is applied to training sequence-based channel estimation, showcasing the complete compression and reconstruction process with algorithm explanations.
MIMO-OFDM channel estimation implementation with performance comparison between Least Squares (LS) and Linear Minimum Mean Square Error (LMMSE) estimation algorithms, including MATLAB code structure and key parameter considerations.