用最佳线性逼近辨识速率饱和度

Alex Yean Keong Yong, A. H. Tan, C. Cham
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引用次数: 2

摘要

本文研究了速率饱和非线性的辨识问题。提出了一种从最佳线性逼近估计速率饱和极限的方法,并将其应用于离散时间模型。该方法的优点是它可以很容易地扩展到Wiener-Hammerstein模型的识别,其中速率饱和块级联在Wiener-Hammerstein结构中,并且还可以在感兴趣的频率带宽上进行识别。仿真结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of rate saturation from best linear approximation
This paper considers the identification of rate saturation nonlinearity. A method to estimate the rate saturation limits from the best linear approximation is proposed and applied to the model in discrete-time. The approach has the advantages that it can be easily extended to the identification of Wiener-Hammerstein models whereby the rate saturation block is cascaded in a Wiener-Hammerstein structure and identification can also be carried out across the frequency bandwidth of interest. Simulation results are presented to show the effectiveness of the proposed technique.
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