基于加权最小二乘的频率估计算法

2017 International Electrical Engineering Congress (iEECON) Pub Date : 2017-03-08 DOI:10.1109/IEECON.2017.8075865

R. Punchalard

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引用次数: 1

摘要

采用加权最小二乘误差准则对基于lms的间接频率估计算法进行了重新表述。对稳态偏差和均方误差(MSE)进行了理论分析。结果表明，在相同的MSE值下，该算法的收敛速度优于传统的基于lms的算法。

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Weighted least square based frequency estimation algorithm

The LMS-based indirect frequency estimation algorithm (IFE) is reformulated using weighted least-square error criterion. Theoretical analyses for steady state bias and mean square error (MSE) are addressed. It has been shown that the proposed algorithm outperforms the conventional LMS-based algorithms in terms of convergence speed at the same value of MSE.

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2017 International Electrical Engineering Congress (iEECON)

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