Research Article
Channel Estimation Using Weighted Switching of Multiple Models
@INPROCEEDINGS{10.4108/eai.15-8-2015.2261213, author={Ruizhe Yang and Pengbo Si and Lin Zhang and Xuyue Yang and Yanhua Zhang}, title={Channel Estimation Using Weighted Switching of Multiple Models}, proceedings={10th EAI International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={9}, keywords={channel estimation multiple model estimation weighted switching}, doi={10.4108/eai.15-8-2015.2261213} }- Ruizhe Yang
Pengbo Si
Lin Zhang
Xuyue Yang
Yanhua Zhang
Year: 2015
Channel Estimation Using Weighted Switching of Multiple Models
CHINACOM
IEEE
DOI: 10.4108/eai.15-8-2015.2261213
Abstract
Multiple model channel estimation with weighted switching is proposed in this paper to adapt to the dynamic nature of double-selective channels. We build the multiple channel estimation models composed of different basis expansion models for channels and different estimation methods. The switching is designed as the weight sum of the models in the model set, using Gauss-Markov theorem and the estimation error variance of the models. Theoretical analysis and numerical simulation results demonstrate the performance improvement compared to single model estimation methods.
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