Explore MATLAB source code curated for "ALamouti方案" with clean implementations, documentation, and examples.
This study simulates the bit error rate (BER) performance of the ALamouti scheme under (2,1) input-output configuration with increasing signal-to-noise ratio (SNR), comparing it against a single-input single-output (SISO) system without diversity. The implementation includes MATLAB-based channel modeling and maximum likelihood detection algorithms.
This program performs bit error rate analysis across a range of SNR values. For each SNR level, it implements: random signal generation with QPSK modulation, Alamouti space-time block coding, transmission through Rayleigh fading channels with AWGN addition, maximum ratio combining at the receiver, and maximum likelihood detection to calculate symbol error rates. The implementation demonstrates that a symbol error rate of 10^-3 corresponds to approximately 12-13 dB SNR, validating the Alamouti scheme's performance in MIMO systems.
MATLAB code implementation demonstrating the Alamouti space-time coding scheme for MIMO (Multiple-Input Multiple-Output) systems with comprehensive signal transmission and reception processing.
MATLAB implementation of Alamouti space-time coding scheme with comprehensive documentation, featuring STC algorithm explanations and practical code examples for enhanced understanding of space-time diversity techniques.