Theoretical Principles of Sphere Decoding

A Word document analyzes the theoretical principles and simulation results of sphere decoding. The document presents two main implementations: 1) sphereandML as the main program, which achieves performance close to Maximum Likelihood (ML) detection by calling spheredecode and spheredecodeinf subroutines; 2) main_spheretoML as the main program, which achieves full Maximum Likelihood (NL) detection performance by calling spheredecodetoML and spheredecodeinftoML subroutines.