Robust Frequency Estimation of Sampled Sinusoidal Signals with Impulsive Noise

被引：0
|
作者：
Gurubelli, Yogeswara Rao [1 ]
Koneti, Sandeep [1 ]
Bollampalli, Ujwala [1 ]
Kolloju, Spandana [1 ]
Vempati, Srinivasa Rao [2 ]
Tipparti, Anil Kumar [3 ]
机构：
[1] SR Int Inst Technol, Dept ECE, Rampally 501301, India
[2] Anurag Engn Coll, Dept ECE, Kodad 508206, India
[3] SR Engn Coll, Dept ECE, Warangal 506371, Andhra Pradesh, India
来源：
PROCEEDINGS FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION | 2014年
关键词：
Cramer-Rao bound; M-estimator; frequency estimation; least-squares method;
D O I：
10.1109/ISMS.2014.127
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a robust method for estimating the signal frequency of sampled sinusoidal signals, which are corrupted by impulsive noise. Hampel estimator is proposed to robustify the frequency estimation. It was observed that the average frequency estimation error becomes zero when a (2/3)pi phase interval was considered to calculate the signal difference. Numerical simulation results show that the frequency estimation error when impulsive noise is added to the input data approaches the Cramer-Rao bound. Further, the effect of harmonic components on the frequency estimation error minimization is also considered, when the phase interval is close to (2/3)pi and the total number of data sample covers several signal period.
引用
收藏
页码：704 / 707
页数：4
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