MIMO NLMS-ZF Data Detection approach for WCDMA based HSDPA systems

This paper proposes several new approaches (NLMS-ZF weighting, NLMS-ZF iterations, NLMS-ZF joint, and Kalman data detection methods) to compare with the existing normalized least mean square (NLMS) data detection method for the multiple input multiple output (MIMO) high speed data packet access (HSDPA) enabled wideband code division multiple access (WCDMA) system. The NLMS data detection method has the lowest and Kalman (in general) the highest complexity of the methods. It is found that the Kalman method has the best performance and that the NLMS-ZF methods have some improvement over the NLMS data detection method for fast-varying channels.