Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver

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 detec...

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Main Authors: Fang Liu, Meng Liu
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2017/5612638
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author Fang Liu
Meng Liu
author_facet Fang Liu
Meng Liu
author_sort Fang Liu
collection DOAJ
description 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.
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institution Kabale University
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spelling doaj-art-d942d7e33d83428997bceb75eac756ec2025-02-03T05:49:48ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552017-01-01201710.1155/2017/56126385612638Dynamic Search Mechanism with Threat Prediction in a GNSS ReceiverFang Liu0Meng Liu1School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, ChinaSchool of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, ChinaWith 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.http://dx.doi.org/10.1155/2017/5612638
spellingShingle Fang Liu
Meng Liu
Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver
Journal of Electrical and Computer Engineering
title Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver
title_full Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver
title_fullStr Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver
title_full_unstemmed Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver
title_short Dynamic Search Mechanism with Threat Prediction in a GNSS Receiver
title_sort dynamic search mechanism with threat prediction in a gnss receiver
url http://dx.doi.org/10.1155/2017/5612638
work_keys_str_mv AT fangliu dynamicsearchmechanismwiththreatpredictioninagnssreceiver
AT mengliu dynamicsearchmechanismwiththreatpredictioninagnssreceiver