ALamouti Scheme Performance Simulation with Code Implementation

Resource Overview

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.

Detailed Documentation

In this paper, we conducted simulations of the ALamouti scheme, specifically analyzing the BER performance evolution under (2,1) antenna configuration with increasing SNR values. The simulation framework incorporated space-time coding implementation using orthogonal transmission matrices and maximum likelihood decoding at the receiver. For comparison, we implemented a baseline SISO system without diversity techniques to evaluate the performance gains of the ALamouti approach. Key implementation aspects included: - Generation of complex channel coefficients using Rayleigh fading models - SNR scaling through additive white Gaussian noise (AWGN) injection - Alamouti encoding with two transmit antennas and symbol pairing - Maximum ratio combining (MRC) at the single receive antenna Notably, our simulation accounted for real-world factors including varying weather conditions and dynamic channel states through Monte Carlo iterations, ensuring statistically accurate results. The comparative analysis yielded valuable insights into the diversity advantages of the Alamouti scheme, demonstrating significant BER improvement over non-diversity systems. These findings provide practical implementation guidance for wireless communication systems and establish foundations for future research in space-time coding techniques.