Gradient-Based Variable Forgetting Factor RLS Algorithm in MIMO-OFDM Channel Estimation

Hai-Yan Lan; Shen-Yuan Yang; Feng Tan; Li-Quan Zhao

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https://doi.org/10.1109/wicom....

Article . 2007 . Peer-reviewed

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https://dx.doi.org/10.1109/wic...

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Gradient-Based Variable Forgetting Factor RLS Algorithm in MIMO-OFDM Channel Estimation

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2007Publisher:IEEEJournal:2007 International Conference on Wireless Communications, Networking and Mobile Computing

Authors: Hai-Yan Lan; Shen-Yuan Yang; Feng Tan; Li-Quan Zhao;

doi: 10.1109/wicom.2007.123

Gradient-Based Variable Forgetting Factor RLS Algorithm in MIMO-OFDM Channel Estimation

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Abstract

This paper proposed a gradient-based variable forgetting factor RLS (GVFF-RLS) algorithm in MIMO-OFDM channel estimation. This GVFF-RLS algorithm is preferable to the traditional RLS algorithm, which is based on the fixed forgetting factor in tracking system variation in time-varying system. After simulation, we can draw a conclusion that in time- varying system, this algorithm has faster tracking ability, less MSE and better astringency.

Related Organizations

Harbin Engineering University
China (People's Republic of)

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