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Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment
Joint Authors
He, Rongxi
Li, Sen
Chen, Xiaojing
Source
International Journal of Antennas and Propagation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper addresses the issue of direction finding of a cyclostationary signal under impulsive noise environments modeled by α-stable distribution.
Since α-stable distribution does not have finite second-order statistics, the conventional cyclic correlation-based signal-selective direction finding algorithms do not work effectively.
To resolve this problem, we define two robust cyclic correlation functions which are derived from robust statistics property of the correntropy and the nonlinear transformation, respectively.
The MUSIC algorithm with the robust cyclic correlation matrix of the received signals of arrays is then used to estimate the direction of cyclostationary signal in the presence of impulsive noise.
The computer simulation results demonstrate that the two proposed robust cyclic correlation-based algorithms outperform the conventional cyclic correlation and the fractional lower order cyclic correlation based methods.
American Psychological Association (APA)
Li, Sen& Chen, Xiaojing& He, Rongxi. 2017. Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment. International Journal of Antennas and Propagation،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1159374
Modern Language Association (MLA)
Li, Sen…[et al.]. Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment. International Journal of Antennas and Propagation No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1159374
American Medical Association (AMA)
Li, Sen& Chen, Xiaojing& He, Rongxi. Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment. International Journal of Antennas and Propagation. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1159374
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1159374