哈默斯坦块导向功能链路自适应滤波器的性能分析

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Letters Pub Date : 2024-09-03 DOI:10.1109/LSP.2024.3453663
Pavankumar Ganjimala;Vinay Chakravarthi Gogineni;Subrahmanyam Mula
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引用次数: 0

摘要

与传统的线性自适应滤波器相比,非线性自适应滤波器(NAF)具有更强的建模能力,尤其是在涉及非线性输入输出关系的实际应用中。函数链路自适应滤波器(FLAF)是一种利用非线性函数展开来实现非线性建模的自适应滤波器,但其代价是高计算复杂度。为此,最近开发了一种低复杂度的哈默斯坦型块导向功能链路自适应滤波器(HBO-FLAF),它所需的计算量比传统的 FLAF 少。为了进一步阐明其行为和设计,我们在本文中对 HBO-FLAF 进行了稳态理论分析。我们推导出了权值更新方程稳态均值和均方收敛的条件,特别是步长参数的上限、稳态过剩均方误差(EMSE)的表达式以及 HBO-FLAF 稳态 EMSE 的下限。数值模拟结果显示与推导结果关系密切,从而验证了理论分析。
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Performance Analysis of Hammerstein Block-Oriented Functional Link Adaptive Filters
Nonlinear adaptive filters (NAFs) exhibit superior modeling capabilities compared to conventional linear adaptive filters, especially in practical applications involving nonlinear input-output relationships. The functional link adaptive filter (FLAF) is an NAF that uses nonlinear functional expansions to achieve nonlinear modelling, however, at the expense of high computational complexity. In response, a low-complexity Hammerstein-type block-oriented functional link adaptive filter (HBO-FLAF) was recently developed, which requires less computation than that of the traditional FLAF. To shed more light on its behaviour and design, we provide a steady-state theoretical analysis of the HBO-FLAF in this paper. We derive the conditions for steady-state mean and mean square convergence of the weight update equations, specifically, an upper bound on the step-size parameter, an expression for the steady-state excess mean square error (EMSE) and a lower bound on the steady-state EMSE of the HBO-FLAF. Numerical simulation results show a close relation with the derived results, thus validating the theoretical analysis.
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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