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

Md Masud Rana, Roton Kumar Gush

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 reduced-rank 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.

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References


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