Signal Frequency Estimation Based on Kalman Filtering Method

Signal Frequency Estimation Based on Kalman Filtering Method

In order to further improve the frequency estimation precision under high dynamic, the frequency estimation method based on Kalman filter is studied. Two methods of Kalman filter directly using for frequency estimation are studied, taking the phase of echo signal and the echo signal for measurements...

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Bibliographic Details
Main Authors: Liu Yandu, Yan Di, Zheng Haixin
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20165603002
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spelling doaj-dd50d1297c0546e68b4cc68921d7a3802021-03-02T09:50:36ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01560300210.1051/matecconf/20165603002matecconf_iccae2016_03002Signal Frequency Estimation Based on Kalman Filtering MethodLiu YanduYan DiZheng HaixinIn order to further improve the frequency estimation precision under high dynamic, the frequency estimation method based on Kalman filter is studied. Two methods of Kalman filter directly using for frequency estimation are studied, taking the phase of echo signal and the echo signal for measurements, which adopt nonlinear and linear Kalman filtering algorithm to estimate the Doppler frequency. Based on the study of performance of these two methods, the Doppler adaptability of the two methods is studied. The simulation results show that the speed precision is improved. But, the two methods of this research are limited by the fixed frequency conversion, and when Doppler changed a large range, the filtering is easy to diverge.http://dx.doi.org/10.1051/matecconf/20165603002
collection DOAJ
language English
format Article
sources DOAJ
author Liu Yandu
Yan Di
Zheng Haixin
spellingShingle Liu Yandu
Yan Di
Zheng Haixin
Signal Frequency Estimation Based on Kalman Filtering Method
MATEC Web of Conferences
author_facet Liu Yandu
Yan Di
Zheng Haixin
author_sort Liu Yandu
title Signal Frequency Estimation Based on Kalman Filtering Method
title_short Signal Frequency Estimation Based on Kalman Filtering Method
title_full Signal Frequency Estimation Based on Kalman Filtering Method
title_fullStr Signal Frequency Estimation Based on Kalman Filtering Method
title_full_unstemmed Signal Frequency Estimation Based on Kalman Filtering Method
title_sort signal frequency estimation based on kalman filtering method
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description In order to further improve the frequency estimation precision under high dynamic, the frequency estimation method based on Kalman filter is studied. Two methods of Kalman filter directly using for frequency estimation are studied, taking the phase of echo signal and the echo signal for measurements, which adopt nonlinear and linear Kalman filtering algorithm to estimate the Doppler frequency. Based on the study of performance of these two methods, the Doppler adaptability of the two methods is studied. The simulation results show that the speed precision is improved. But, the two methods of this research are limited by the fixed frequency conversion, and when Doppler changed a large range, the filtering is easy to diverge.
url http://dx.doi.org/10.1051/matecconf/20165603002
work_keys_str_mv AT liuyandu signalfrequencyestimationbasedonkalmanfilteringmethod
AT yandi signalfrequencyestimationbasedonkalmanfilteringmethod
AT zhenghaixin signalfrequencyestimationbasedonkalmanfilteringmethod
_version_ 1724238400141131776

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