Journal
WIRELESS PERSONAL COMMUNICATIONS
Volume 97, Issue 4, Pages 5031-5044Publisher
SPRINGER
DOI: 10.1007/s11277-017-4763-5
Keywords
Low computational complexity; MIMO systems; Channel estimation
Categories
Ask authors/readers for more resources
Channel estimation is employed to get the current knowledge of channel states for an optimum detection in fading environments. In this paper, a new recursive multiple input multiple output (MIMO) channel estimation is proposed which is based on the recursive least square solution. The proposed recursive algorithm utilizes short training sequence on one hand and requires low computational complexity on the other hand. The algorithm is evaluated on a MIMO communication system through simulations. It is realized that the proposed algorithm provides fast convergence as compared to recursive least square (RLS) and robust variable forgetting factor RLS (RVFF-RLS) adaptive algorithms while utilizing lesser computational cost and provides independency on forgetting factor.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available