Fitting Noise Power Spectrum Parameters by Squared Distance Minimization

Nai Lei, Jiao Du, Qiuzhan Zhou, Dan’e Wu
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引用次数: 1

Abstract

In order to improve the accuracy and stability of conventional Least Square estimation for noise power spectrum, this paper presents a new method of quantitative calculation which is based on the Squared Distance Minimization (SDM). The amplitudes of each noise can be gained by using this method, and then the reliability estimation of the semiconductor can be realized. The experiment results show that the SDM method is more stable and need less computation than that of the Least Square Method (LSM).
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用距离平方最小法拟合噪声功率谱参数
为了提高传统的噪声功率谱最小二乘估计的精度和稳定性,本文提出了一种新的基于距离平方最小化(SDM)的定量计算方法。利用该方法可以得到各噪声的幅值,从而实现对半导体的可靠性估计。实验结果表明,与最小二乘法(LSM)相比,SDM方法更稳定,计算量更少。
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