Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Doppler Parameter Estimation Based on Fractional Correlation in Alpha-Stable Distribution Noise Environment

Authors
Li Li
Corresponding Author
Li Li
Available Online December 2016.
DOI
10.2991/mcei-16.2016.106How to use a DOI?
Keywords
Fractional correlation; Fractional lower order statistics; Doppler frequency; -stable distribution
Abstract

This paper takes the -stable distribution as the noise model and works on the parameter estimation problem in the impulsive noise environment. This paper presents a signal model and a novel method for parameter estimation in the impulsive noise environment. Firstly, a signal array model is constructed based on the -stable distribution model. Secondly, Doppler parameters are jointly estimated by searching the optimal rotation angle to meet concentrated-energy of the FLOS-FC. Simulation results are presented to verity the effectiveness of the proposed method.

Copyright
© 2017, 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 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
10.2991/mcei-16.2016.106How to use a DOI?
Copyright
© 2017, 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  - Li Li
PY  - 2016/12
DA  - 2016/12
TI  - Doppler Parameter Estimation Based on Fractional Correlation in Alpha-Stable Distribution Noise Environment
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 515
EP  - 518
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.106
DO  - 10.2991/mcei-16.2016.106
ID  - Li2016/12
ER  -