数字HR滤波器优化设计的灰狼优化器

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI:10.1109/IACS.2019.8809137

Mohammad Al Saaideh, Bayan B. Mazideh, D. Abu-Al-Nadi

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引用次数: 2

摘要

数字滤波器在数字信号处理中起着重要的作用。本文采用灰狼优化算法(GWO)设计最优数字UR滤波器。采用基于绝对误差(l1 -范数)、误差平方(l2 -范数)和通带和阻带频率幅度纹波最小化的多目标函数来解决具有稳定性约束的优化问题。所设计的低通(LP)、高通(HP)、带通(BP)和带阻(BS)的仿真结果表明，使用GWO设计数字HR滤波器的能力和成功，与文献中其他算法相比，它的频率响应绝对误差小，设计指标在合适的范围内。

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Grey Wolf Optimizer for Optimal Design of Digital HR Filter

Digital filters play an important role in digital signal processing applications. In this work Grey Wolf Optimizer (GWO) algorithm is used to design optimal digital UR filters. The multiobjective function based on minimizing the absolute error (L1-norm), the square of error (L2-norm) and the ripple of magnitude of passband and stopband frequencies is used to solve the optimization problem with stability constraints. The simulation results of designed Low-pass (LP), High-pass (HP), Band-pass (BP) and Band-stop (BS) show the ability and success of using GWO for design digital HR filters and it gives frequency response with small absolute error and design specifications within suitable range as compared with other algorithms in literature.

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2019 10th International Conference on Information and Communication Systems (ICICS)

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