An Improved Method for Designing MTD Filter Coefficients Based on Second-Order Cone Programming

To improve the convergence performance of filter coefficient solving processes, align the filter frequency response curve more closely with the desired frequency response curve, and enhance the robustness of the filter coefficient solving method, this paper proposes an improved MTD filter coefficient solving method based on second-order cone programming. This method can achieve a filter frequency response that closely aligns with the desired frequency response. The effectiveness of the method is verified through simulation experiments and actual measured data.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868292
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

An Improved Method for Designing MTD Filter Coefficients Based on Second-Order Cone Programming

Sung‐A Chang, Wen Yue Guan, Yan Han, He Hao et al.
Advanced Algorithms and Applications
article

An Improved Method for Designing MTD Filter Coefficients Based on Second-Order Cone Programming

Sung‐A Chang, Wen Yue Guan, Yan Han, He Hao, Q. Liu
article en

Abstract

To improve the convergence performance of filter coefficient solving processes, align the filter frequency response curve more closely with the desired frequency response curve, and enhance the robustness of the filter coefficient solving method, this paper proposes an improved MTD filter coefficient solving method based on second-order cone programming. This method can achieve a filter frequency response that closely aligns with the desired frequency response. The effectiveness of the method is verified through simulation experiments and actual measured data.

Beijing Institute of Technology (CN)
Openalex Percentile: Top 67%
Advanced Algorithms and Applications
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