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首页> 外文期刊>IEEE Transactions on Signal Processing >FIR system identification based on subspaces of a higher order cumulant matrix
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FIR system identification based on subspaces of a higher order cumulant matrix

机译:基于高阶累积量矩阵子空间的FIR系统识别

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摘要

A new linear algebraic approach for identification of a nonminimum phase FIR system of known order using only higher order (<2) cumulants of the output process is proposed. It is first shown that a matrix formed from a set of cumulants of arbitrary order can be expressed as a product of structured matrices. The subspaces of this matrix are then used to obtain the parameters of the FIR system using a set of linear equations. Theoretical analysis and numerical simulation studies are presented to characterize the performance of the proposed methods.
机译:提出了一种新的线性代数方法,用于仅使用输出过程的高阶(<2)累积量来识别已知阶数的非最小相位FIR系统。首先表明,由一组任意顺序的累积量形成的矩阵可以表示为结构化矩阵的乘积。然后,使用一组线性方程式,将该矩阵的子空间用于获得FIR系统的参数。进行了理论分析和数值模拟研究,以表征所提出方法的性能。

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