基于wls约束的自适应陷波滤波器的频率估计

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI:10.1109/ecti-con49241.2020.9158280

R. Punchalard

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引用次数: 1

摘要

提出了一种基于加权最小二乘(WLS)算法的约束自适应IIR陷波滤波器(c-ANF-WLS)，用于高斯噪声中单个实音的频率估计。与以往的一些技术相比，该算法在收敛速度和稳态均方误差(MSE)方面都表现出更好的性能。提供了计算机模拟结果来断言所述权利要求。

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Frequency Estimation Based On WLS-Constrained Adaptive Notch Filter

A constrained adaptive IIR notch filter (c-ANF) using weighted least square (WLS) algorithm (c-ANF-WLS) is introduced for frequency estimation of a single real tone embed in Gaussian noise. As compared with some previous techniques, the proposed algorithm exhibits better performance in terms of both convergence rate and steady state mean square error (MSE). Computer simulation results are provided to assert the claim.

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来源期刊

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

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