
ESPRIT-based fast broadband measurement method
Author(s) -
Kai Wang,
Yu Zuo,
Xingcai Wang,
Dianyang Li,
Hanwen Cao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/680/1/012010
Subject(s) - broadband , computer science , electronic engineering , frequency band , signal (programming language) , range (aeronautics) , system of measurement , telecommunications , bandwidth (computing) , engineering , physics , programming language , aerospace engineering , astronomy
As the penetration rate of power electronic devices in the power system is getting higher and higher, the broadband characteristics of electrical quantities are becoming more and more significant, and it has caused new network-related stability problems. The monitoring frequency band range and response speed of power system signals are proposed New requirements. This paper uses the super-resolution characteristics of spatial spectrum estimation to propose a short-time window wide frequency measurement method, and estimates the number of signal frequency components through the kurtosis of the signal singular value, and proposes a method based on ESPRIT. The fast broadband data measurement method has shorter response time and higher resolution for fast-changing broadband signals, and at the same time improves the performance of this method in the case of lower signal-to-noise ratio.