RLS channel estimation with forgetting factor adaptation for the downlink of MC-CDMA system

In this paper, two pilot-aided-channel-estimation schemes modified from the ordinary recursive least squares (RLS) algorithm for the downlink of multicarrier code division multiple access (MC-CDMA) are proposed. Both techniques employ the method of adjusting the adaptive weigh (forgetting factor) of RLS algorithm for utilizing the correlation in time domain of the channel response in order to improve the estimation accuracy and tracking capability of the system. The simulation results show that our proposed algorithms outperform the customary RLS algorithm channel estimation schemes in both BER performance and tracking capability over the frequency selective fading channel.