Frequency-domain-based least-squares estimation of multifrequency signal parameters

被引：38

作者：

Carbone, P ^{[1
]}

Nunzi, E ^{[1
]}

Petri, D ^{[1
]}

机构：

[1] Univ Perugia, Dipartimento Elettr & Informaz, I-06125 Perugia, Italy

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2000年 / 49卷 / 03期

关键词：

amplitude estimation; discrete Fourier transforms; frequency-domain analysis; least squares methods; phase estimation; spectral analysis;

D O I：

10.1109/19.850394

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a frequency-based least squares algorithm applied to the estimation of multifrequency signal parameters, It is based on the processing of the joint information carried by nearby frequency components of Fourier-transformed data, Theoretical and simulated analysis are carried out on the algorithm accuracy, while its performance is compared to the corresponding Cramer-Rao (CR) lower bound.

引用

页码：555 / 558

页数：4

共 9 条

[1] WINDOWS AND INTERPOLATION ALGORITHMS TO IMPROVE ELECTRICAL MEASUREMENT ACCURACY [J].