Blind adaptive decision feedback multiuser detector for DS-CDMA with power estimation

In this paper we propose a new blind adaptive decision-feedback multiuser detector (BADFP) for synchronous direct-sequence code-division multiple-access (DS-CDMA) systems. The BADFP algorithm is a stochastic adaptive gradient type algorithm that incorporates power estimation of the user of interest to enhance the performance of the detector. It is assumed that full power control is in place and all the users are equally powered. The proposed algorithm requires the knowledge of the signature sequence of the desired user. The simulation results show that the performance of the BADFP algorithm is comparable with the ideal blind linear minimum output energy (MOE) detector.