MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems

In this work, a decision feedback equaliser (DFE) is implemented based on a constrained least mean square (LMS) algorithm for multiple input multiple output code division multiple access (MIMO-CDMA) systems. The proposed algorithm is equipped with the knowledge of the number of subscribers, the spreading sequence length, the noise variance as well as the variance of the multiple access interference (MAI) plus noise. Unlike previous works, here the MAI is introduced as a constraint as well. The introduction of these two constraints gives the proposed algorithm an excellent performance. Finally, simulation results conducted to support the theoretical findings show that the proposed algorithm outperforms various constrained implementations of the LMS algorithm.