.png){kind=icon}
返回
A simple recursive algorithm for frequency estimation
.png){kind=icon}
PRE
AI
DOI：10.1109/TIM.2003.822707.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A new approach to the design of a digital algorithm for local system frequency estimation is presented. The algorithm is derived using the maximum likelihood method. One sinusoidal voltage model was assumed. FIR digital filters used in papers [11], [12] are used to minimize the noise effect and to eliminate the presence of the harmonies effect. The algorithm showed a very high level of robustness as well as high measurement accuracy over a wide range of frequency changes. The algorithm convergence provided fast response and adaptability. This technique provides accurate estimates with error in the range of 0.005 Hz in about 25 ms and requires modest computations. The theoretical basis and practical implementation of the technique are described. To demonstrate the performance of the developed algorithm, computer simulated data records are processed.
Keyword:
computer relaying
frequency measurement
maximum likelihood method
parameter estimation
recursive algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
2.0W
被引数:
5.8W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
查看更多内容