Difference equation reconstruction algorithms based on generalized least square method

A. S. Anisimòv, V. Kononov, D. Khudyakov
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Abstract

The possibilities and singularities of the use of the maximum likelihood method, for an improvement in the estimation of denominator polynomial factors at reconstruction of object discrete transfer function on noisy estimation of its impulse response, are considered. The application of this method reduces the necessity of a nonlinear algebraic system solution. A special iterative algorithm of solution of the system is proposed, on which each step, the solution of two linear systems is made. In this case the reconstruction error of the required factors is generated by an arbitrary choice of shaping filter transfer function order, and by the iterative character of a nonlinear system solution. The procedure of indirect monitoring of the obtained estimation effectiveness, by means of inspection of indices of centrality, whiteness and normality of generating noise estimation, is proposed.
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基于广义最小二乘法的差分方程重构算法
考虑了极大似然法在目标离散传递函数重构中对其脉冲响应的噪声估计的分母多项式因子估计的改进的可能性和奇异性。该方法的应用减少了求解非线性代数方程组的必要性。提出了一种求解该系统的特殊迭代算法,该算法每一步求解两个线性系统。在这种情况下,所需因子的重构误差是由任意选择整形滤波器传递函数阶数和非线性系统解的迭代特性产生的。提出了通过检测产生噪声估计的中心性、白度和正态性指标来间接监测估计效果的方法。
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