Blind RLS Prediction and LMS Code-Aided NBI Rejection for CDMA Systems

In this paper, a blind adaptive recursive least square prediction and least mean square code-aided (RLS-LMS) technique for narrow-band interference (NBI) rejection of code division multiple access (CDMA) system is proposed. This technique is to solve the problem that blind adaptive LMS code-aided technique has poor steady performance and blind adaptive RLS code-aided technique has conflict with constringency and steady performance. Specifically, the proposed technique is against the type of NBI namely autoregressive (AR) stochastic process. The performance of blind adaptive RLS-LMS technique is analyzed and compared with blind adaptive LMS code-aided and blind adaptive RLS code-aided technique. It is seen that this method outperforms current blind adaptive code-aided techniques.