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Parameter estimation of multichannel autoregressive processes in noise

机译:噪声中多通道自回归过程的参数估计

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摘要

We present a new multichannel autoregressive parameter estimation method using a finite set of noisy observations without a priori knowledge of additive noise power. The proposed method is based on solving alternatively a set of nonlinear and a set of linear equations. The Newton-Raphson iteration algorithm is used to estimate the unknown noise variances solving the nonlinear equations while the unknown AR parameter matrices are estimated solving the noise-compensated Yule-Walker equations linearly. Computer simulation results are presented to evaluate the performance of the proposed method.
机译:我们提出了一种新的多通道自回归参数估计方法,该方法使用了有限的噪声观测集,而无需先验知识的加性噪声​​功率。所提出的方法是基于交替求解一组非线性方程组和一组线性方程组。牛顿-拉夫逊迭代算法用于估计求解非线性方程的未知噪声方差,而未知AR参数矩阵则用于线性求解经噪声补偿的Yule-Walker方程。给出了计算机仿真结果,以评估该方法的性能。

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