Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

Research on two Typical Estimation Algorithms of Doppler Frequency

Authors
Guodong Xu, Pengfei Li, Limin Dong
Corresponding Author
Guodong Xu
Available Online August 2012.
DOI
10.2991/iccasm.2012.84How to use a DOI?
Keywords
Frequency estimation,Cross zero point,Complexcrrelation
Abstract

The accuracy of Doppler mean frequence estimation is vital in some related areas. In this paper, two typical estimation algorithms for mean frequency in time domain are discussed. Based on the mathematics derivation of different methods, the conclusion could be obatained that the precision was mostly influced by the amount of the sampling, signal-tonoise ratio (SNR), and the frequency of sampling. Then they were detailed analyzed and simulated in computer. The results of the simulations primarily indicate that the performance of complex-correlation algorithm is more advantageous than cross zero point algorithm in the same configeure condition. However, the complexity of its process is increased largely.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.84
ISSN
1951-6851
DOI
10.2991/iccasm.2012.84How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Guodong Xu
AU  - Pengfei Li
AU  - Limin Dong
PY  - 2012/08
DA  - 2012/08
TI  - Research on two Typical Estimation Algorithms of Doppler Frequency
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 336
EP  - 338
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.84
DO  - 10.2991/iccasm.2012.84
ID  - Xu2012/08
ER  -