Jaya optimization algorithm based multiuser detector over Generalized-K fading channels

Jaya optimization algorithm (JOA) based multiuser detector over generalized-K (GK) fading channels, in the presence of impulsive noise, is presented in this paper to eliminate multiple access interference (MAI) problem. The JOA is used to implement the M-decorrelator with least squares (LS), Huber (HU), Hampel (HA) and modified Hampel (MH) estimators by minimizing the corresponding penalty functions. An exact expression for average bit error rate (BER) is obtained to analyze the performance of M-decorrelator. Simulation results show the potency of MH based M-decorrelator.