RLS Channel Estimation Combined with Channel Equalization in Oversampled Frequency Domain for FBMC-QAM Systems

Abstract In order to reduce the bit error rate and improve anti-interference performance, this paper proposes a channel estimation algorithm based on RLS. RLS obtains current data by modifying final data. First, first is estimated least squares (LS), then date adjusted in real time through forgetting factor recursive formula obtain all The results show that can computation, accuracy of estimation, suppress noise interference. As number iterations increases, will be more accurate, effectively reducing rate.