Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
With the development of GNSS and the application of multimode signals, efficient GNSS receiver research has become very important.
However, threat signals in the received signal are inevitable, which will represent important threats to navigation applications and will lead to leakage and fault detection for the receiver.
Therefore, the searches with threat prediction in GNSS signals have been regarded as the important problem for GNSS receivers.
In view of the limitations and nonadaptability of the current search technologies as well as on the basis of the proportionality peak judgment mechanism, a dynamic search mechanism with threat prediction (DSM-TP) is proposed in this paper, in which we define a series of preset coefficients and a threat index to optimize the decision mechanism.
The simulation results demonstrate that the DSM-TP method can predict the threat situation and can adapt to lower SNR environments compared to the traditional method.
In addition, the DSM-TP method can avoid the impact of threats, and the detection capability of the new method is better than the detection capability of the traditional method.
American Psychological Association (APA)
Liu, Fang& Liu, Meng. 2017. Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1175327
Modern Language Association (MLA)
Liu, Fang& Liu, Meng. Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1175327
American Medical Association (AMA)
Liu, Fang& Liu, Meng. Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1175327
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175327