Explore MATLAB source code curated for "MIMO系统" with clean implementations, documentation, and examples.
Several detection schemes for MIMO systems including ZF, MMSE, and ML decoding. The first two methods (ZF and MMSE) are fully operational with optimized implementations, while the ML decoding scheme currently faces technical challenges requiring further debugging and algorithm refinement.
MATLAB simulation and implementation of the Minimum Mean Square Error (MMSE) detection algorithm for Multiple-Input Multiple-Output (MIMO) systems, including performance analysis and optimization techniques.
This research presents simulations based on the analytical conclusions of the LS algorithm. Following the analysis results, simulation experiments will be conducted to investigate the effects of signal-to-noise ratio values, training sequence length, and optimal training selection. The implementation will include parameter sweep configurations and performance evaluation metrics for comprehensive algorithm assessment.
This project simulates multiple space-time block codes for MIMO systems, including 2×2 Alamouti coding and rate-1/2 space-time block codes, with detailed code implementation and performance analysis.
Convolution-based blind channel estimation for MIMO systems, utilizing signal convolution operations to achieve blind signal estimation with enhanced algorithm implementation details
This MATLAB implementation demonstrates a MIMO system featuring space-time trellis coding transmission over Rayleigh fading channels with perfect channel state information at the receiver. The comprehensive code includes detailed algorithm implementations, making it particularly valuable for graduation projects and wireless communication research.
MIMO systems utilize power allocation to improve system performance, with this program primarily implementing the water-filling algorithm for power distribution
This study investigates channel estimation algorithms for MIMO systems by introducing the MMSE algorithm and conducting joint simulations with the LS algorithm for performance comparison, including implementation details for MATLAB-based evaluation.
This MATLAB package implements the blind identification algorithm for MIMO systems using second and higher-order output statistics. The core file "mimo_main.m" contains the complete implementation featuring system modeling, statistical analysis, and result visualization capabilities.
Simulation of Bit Error Rate performance in MIMO systems under QPSK modulation scheme over Gaussian Rayleigh fading channels, featuring clear implementation and BER curve generation