Spline nonlinear adaptive filter with cross-terms
Spline nonlinear adaptive filter with cross-terms
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DOI：
10.1109/icecs49266.2020.9294834
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Yukihiro Akutsu;Shuji Saitou;Y. Sugita
中科院分区：
文献类型：
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作者：
Yukihiro Akutsu;Shuji Saitou;Y. Sugita
本文提出了一种扩展的最近提出的广义样条非线性自适应滤波器（GSNAF），包括适当的交叉项，这是产品的输入样本具有不同的时间偏移。该方法将自适应样条函数扩展为具有两组输入的二维自适应函数。仿真结果表明，在具有硬非线性和交叉项的非线性系统模型中，所提出的滤波器可以提供与三阶沃尔泰拉滤波器和GSNAF相比相当或更好的性能。
This paper proposes an extension of the recently proposed generalized spline nonlinear adaptive filter (GSNAF) to include suitable cross-terms which are products of input samples with different time shifts. In the proposed method, an adaptive spline function is extended to a two-dimensional adaptive function with two sets of inputs. The simulations show that in nonlinear system models having hard nonlinearities and cross-terms, the proposed filter can provide comparable or better performance compared to third-order Volterra filters and GSNAF.