3- https://doi.org/10.1007/s11277-017-4763-5
Low Complexity Linear Channel Estimation for MIMO Communication Systems
- Aug 12, 2017
- Wireless Personal Communications
- Hasan Raza +1 more
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.
- # Recursive Least Square
- # Multiple Input Multiple Output Communication System
- # Channel Estimation
- # Recursive Least Square Adaptive Algorithms
- # Forgetting Factor
- # Multiple Input Multiple Output
- # Multiple Input Multiple Output System
- # Input Multiple Output Channel
- # Fast Convergence
- # Adaptive Algorithms
