| Summary: | 碩士 === 逢甲大學 === 電機工程學系 === 101 === For the purpose of increasing the accuracy of signal transfers in wireless communications, this research project particular concentrates on the study and improvement of the channel estimation problem（CE）. The Kalman filter（KF）algorithm has been successfully served as a high-efficient and noise-tolerant method for the CE problem, with low-cost computation and reliable tracking mechanism. However, in a further step toward better performance, we present a novel technique based on the incorporation of a cost function into the user-defined evolution model, in the KF framework. the proposed KF-based technique has been proved a promising potential in accommodating situations, and successfully contributes to a new CE method with great noise restriction.
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