A new cumulant based parameter estimation method for noncausal autoregressive systems

Chong-Yung Chi, J. Hwang, C. Rau
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引用次数: 11

Abstract

In this paper, a new nonlinear parameter estimation method for a noncausal autoregressive (AR) system based on a new quadratic equation relating the unknown AR parameters to higher-order (/spl ges/3) cumulants of non-Gaussian output measurements in the presence of additive Gaussian noise, is described. It is applicable no matter whether or not the order of the system is known in advance; it is also applicable for the case of causal AR system. Some simulation results are offered to justify that the proposed method is effective.<>
一种基于累积量的非因果自回归系统参数估计新方法
本文基于未知AR参数与加性高斯噪声下非高斯输出测量的高阶(/spl /3)累积量的二次方程,提出了一种非因果自回归(AR)系统的非线性参数估计方法。无论系统序次是否事先已知,均适用;它也适用于因果AR系统的情况。仿真结果证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。
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