An Enhanced Algorithm for MIMO-OFDM System Detection: Sphere Decoding Approach

This paper presents an enhanced detection algorithm for MIMO-OFDM systems—the sphere decoding algorithm. The implementation includes VB sphere decoding, CL sphere decoding, and improved variants (KCL and CL-MMSE algorithms). Through simulation experiments with code implementations featuring tree search structures and Euclidean distance calculations, we obtain the following results:

- Performance evaluation of sphere decoding algorithms in MIMO-OFDM systems, implemented through MATLAB simulations with parameterized antenna configurations and modulation schemes.

- Comparative analysis between VB sphere decoding and CL sphere decoding algorithms, where code implementations differ in search radius adaptation strategies and pruning techniques.

- Performance advantages of enhanced algorithms (KCL and CL-MMSE) in detection capabilities, achieved through hybrid approaches combining sphere decoding with MMSE preprocessing in the algorithmic structure.

Through this research with verifiable simulation code, we conclude that sphere decoding serves as an effective detection algorithm for MIMO-OFDM systems, and the enhanced algorithms further improve detection performance through optimized search space reduction and error probability minimization techniques.