MATLAB Simulation of Physical Layer Space-Time Coding

This MATLAB simulation program implements physical layer space-time coding, containing complete source code spanning from the transmitter through the channel to the receiver. The program can simulate the transmission performance of space-time coding in wireless communication systems. Through analysis and debugging of the source code, users can better understand and learn the principles and applications of space-time coding. At the transmitter side, the implementation includes signal generation using functions like rand() for random data creation, symbol mapping through constellation schemes (such as QPSK or QAM modulation), and space-time coding operations utilizing algorithms like Alamouti coding or other STBC schemes with matrix operations for antenna diversity. The signal then propagates through the channel model, which may implement fading characteristics using Rayleigh or Rician distribution functions, additive white Gaussian noise (AWGN) with randn() function, and possibly multiple-input multiple-output (MIMO) channel matrix transformations. At the receiver side, the program demonstrates signal processing through decoding algorithms such as maximum likelihood detection using sphere decoding techniques, and demodulation processes that employ constellation demapping functions. The final output recovers the original information with error rate calculation capabilities. By running this simulation, researchers can observe how different coding schemes (like orthogonal space-time block codes or space-time trellis codes) and various channel conditions affect transmission performance metrics such as bit error rate (BER) and system capacity. This enables deeper research and optimization of space-time coding applications through parameter tuning and algorithm modifications in the MATLAB environment.