Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition
Joint Authors
Source
International Journal of Antennas and Propagation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-18
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper presents the new constraint correntropy beamforming method to improve the performance of global navigation satellite system (GNSS) receivers.
Although beamforming-based GNSS system possesses the ability of nulling interference sources, the distortions to satellite signal induced by impulsive noises are always neglected.
This paper addresses the satellite navigation signal acquisition problem against impulsive noises using the constraint maximum correntropy criterion in framework of the GNSS system.
In addition, in order to decrease the number of active elements for avoiding overmuch energy consumption, we introduce the L1-norm penalty equation to the list of constraints of the adaptive filter that forces the coefficients with small magnitudes to zero.
From the above, we propose the norm-constraint beamforming method to satisfy the conflicting requirements between the coefficients sparsity and the performance of the satellite signal acquisition.
The proposed CSMC maintains the robustness against impulsive outliers and achieve better performance in conjunction with less power consumption.
An analysis of the mean square convergence properties of the proposed algorithms is presented, and the stability condition of the convergence is derived.
Our simulation results demonstrate the superiority of the proposed methods.
American Psychological Association (APA)
Zhang, Haichuan& Zeng, Fangling. 2019. Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition. International Journal of Antennas and Propagation،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1157626
Modern Language Association (MLA)
Zhang, Haichuan& Zeng, Fangling. Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition. International Journal of Antennas and Propagation No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1157626
American Medical Association (AMA)
Zhang, Haichuan& Zeng, Fangling. Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition. International Journal of Antennas and Propagation. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1157626
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1157626