Recursive Least Square Based Reduced-Rank Blind Channel Estimation Algorithm for CDMA Systems

Abstract

Generally, the high speed data transmission and reliable communication systems is often
desired. For this reason, the channel estimation becomes an important topic in the
communication community. In the last few decades, many works have done over the reducedrank channel estimation approaches. Although many of them provide good performance but
they incur high computational complexity, so it is infeasible to implement in real-time. In this
paper, we proposed an adaptive recursive least square based reduced-rank channel
estimation algorithm for code division multiple access systems. The performance of this
algorithm is compared with the full-rank recursive least square algorithm. Numerical
simulation results show that the proposed algorithm provides reasonable performance
improvement and lower complexity at a situation where the number of sample is small.