• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于接收机传感器捕获阶段及后续控制的新型全球导航卫星系统(GNSS)欺骗信号功率控制算法。

A New GNSS Spoofing Signal Power Control Algorithm for Receiver Sensors in Acquisition Phase and Subsequent Control.

作者信息

Gao Yangjun, Li Guangyun

机构信息

State Key Laboratory of Geo-Information Engineering, Xi'an 710054, China.

College of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China.

出版信息

Sensors (Basel). 2022 Aug 31;22(17):6588. doi: 10.3390/s22176588.

DOI:10.3390/s22176588
PMID:36081047
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9460626/
Abstract

Satellite navigation spoofing technology has become a hotspot of interference technology research because of its significant threat and high concealment. In a spoofing scenario, suppressive interference is typically used to ensure that the target receiver sensor is in the unlocked and reacquisition state, and then spoofing is implemented. This method has a high feasibility, and the power of the spoofing signal affects the concealment and efficiency of spoofing. Currently, there is limited research involving the GNSS spoofing signal power control. Moreover, there is no systematic complete power control scheme, most of which is limited to qualitative or simulation, and the actual application effect is still unclear. Therefore, a new GNSS spoofing signal power control algorithm under the power constraints of the receiver sensor in the acquisition phase and the subsequent control is proposed. The experimental platform is designed to prove that compared with the conventional spoofing signal high power control algorithm, the new GNSS spoofing signal power control algorithm shortens Doppler frequency fluctuation time by 72.2% and reduces the range by 75.9%. The carrier-to-noise ratio of the received signal is less than the threshold of the receiver sensor, and the range of three-dimensional coordinates of Earth-Centered, Earth-Fixed (ECEF) is significantly reduced during the spoofing signal taking over receiver sensor, this shows that the new design of the GNSS spoofing signal power control algorithm can make spoofing behavior more hidden, and it will make it more difficult for the target receiver sensor to detect spoofing behavior. The designed algorithm can take over the receiver sensor stealthily with the help of suppressing interference and then pull the bias positioning results, which has good feasibility and effectiveness.

摘要

卫星导航欺骗技术因其重大威胁性和高隐蔽性,已成为干扰技术研究的热点。在欺骗场景中,通常利用压制干扰确保目标接收机传感器处于未锁定和重新捕获状态,然后实施欺骗。该方法具有较高的可行性,欺骗信号的功率会影响欺骗的隐蔽性和效率。目前,涉及全球导航卫星系统(GNSS)欺骗信号功率控制的研究有限。而且,不存在系统完整的功率控制方案,大多局限于定性分析或仿真,实际应用效果仍不明确。因此,提出了一种在捕获阶段接收机传感器功率约束及后续控制下的新型GNSS欺骗信号功率控制算法。设计了实验平台,结果证明,与传统欺骗信号高功率控制算法相比,新型GNSS欺骗信号功率控制算法使多普勒频率波动时间缩短了72.2%,距离减小了75.9%。接收信号的载噪比小于接收机传感器的阈值,在欺骗信号接管接收机传感器期间,地心地固(ECEF)三维坐标范围显著减小,这表明新型GNSS欺骗信号功率控制算法的设计可使欺骗行为更隐蔽,目标接收机传感器更难检测到欺骗行为。所设计的算法能够借助压制干扰悄悄接管接收机传感器,进而拉偏定位结果,具有良好的可行性和有效性

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/163d9adee523/sensors-22-06588-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/6ae76928ca60/sensors-22-06588-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/c2339ec16ad0/sensors-22-06588-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/89321267e10a/sensors-22-06588-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/c0a42d333195/sensors-22-06588-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/ed9f5548eaad/sensors-22-06588-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/31af3dbeb6b5/sensors-22-06588-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/aa69bb407a2c/sensors-22-06588-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/252dacaed4d9/sensors-22-06588-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/b9be709e0e5d/sensors-22-06588-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/e2dbf80d7a1f/sensors-22-06588-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/b65b66bf52b8/sensors-22-06588-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/439b9c24a9e2/sensors-22-06588-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/758f1b29d9c0/sensors-22-06588-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/163d9adee523/sensors-22-06588-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/6ae76928ca60/sensors-22-06588-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/c2339ec16ad0/sensors-22-06588-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/89321267e10a/sensors-22-06588-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/c0a42d333195/sensors-22-06588-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/ed9f5548eaad/sensors-22-06588-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/31af3dbeb6b5/sensors-22-06588-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/aa69bb407a2c/sensors-22-06588-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/252dacaed4d9/sensors-22-06588-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/b9be709e0e5d/sensors-22-06588-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/e2dbf80d7a1f/sensors-22-06588-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/b65b66bf52b8/sensors-22-06588-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/439b9c24a9e2/sensors-22-06588-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/758f1b29d9c0/sensors-22-06588-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9441/9460626/163d9adee523/sensors-22-06588-g014.jpg

相似文献

1
A New GNSS Spoofing Signal Power Control Algorithm for Receiver Sensors in Acquisition Phase and Subsequent Control.一种用于接收机传感器捕获阶段及后续控制的新型全球导航卫星系统(GNSS)欺骗信号功率控制算法。
Sensors (Basel). 2022 Aug 31;22(17):6588. doi: 10.3390/s22176588.
2
A Slowly Varying Spoofing Algorithm on Loosely Coupled GNSS/IMU Avoiding Multiple Anti-Spoofing Techniques.一种针对松耦合 GNSS/IMU 的缓变欺骗算法,可规避多种反欺骗技术。
Sensors (Basel). 2022 Jun 14;22(12):4503. doi: 10.3390/s22124503.
3
A Two-Stage Interference Suppression Scheme Based on Antenna Array for GNSS Jamming and Spoofing.基于天线阵列的 GNSS 干扰和欺骗的两级干扰抑制方案。
Sensors (Basel). 2019 Sep 7;19(18):3870. doi: 10.3390/s19183870.
4
Two Regional Deployment Algorithms of Distributed GNSS Forwarding Spoofer for Multiple Receiver Sensors.用于多接收机传感器的分布式GNSS转发式干扰器的两种区域部署算法
Sensors (Basel). 2022 Oct 14;22(20):7793. doi: 10.3390/s22207793.
5
Spoofing Detection Algorithm Based on Pseudorange Differences.基于伪距差分的欺骗检测算法。
Sensors (Basel). 2018 Sep 21;18(10):3197. doi: 10.3390/s18103197.
6
Characterization of the Ability of Low-Cost GNSS Receiver to Detect Spoofing Using Clock Bias.利用时钟偏差对低成本 GNSS 接收机检测欺骗能力的特性进行描述。
Sensors (Basel). 2023 Mar 2;23(5):2735. doi: 10.3390/s23052735.
7
GNSS interference and spoofing dataset.全球导航卫星系统干扰与欺骗数据集。
Data Brief. 2024 Mar 8;54:110302. doi: 10.1016/j.dib.2024.110302. eCollection 2024 Jun.
8
GNSS spoofing detection using a maximum likelihood-based sliding window method.基于最大似然的滑动窗口方法的 GNSS 欺骗检测。
PLoS One. 2020 Aug 28;15(8):e0237146. doi: 10.1371/journal.pone.0237146. eCollection 2020.
9
A Spatial-Temporal Approach Based on Antenna Array for GNSS Anti-Spoofing.一种基于天线阵列的用于全球导航卫星系统抗欺骗的时空方法。
Sensors (Basel). 2021 Jan 30;21(3):929. doi: 10.3390/s21030929.
10
Synthetic GNSS spoofing data generation using field recorded signals.利用现场记录信号生成合成全球导航卫星系统(GNSS)欺骗数据。
MethodsX. 2018 Oct 9;5:1272-1280. doi: 10.1016/j.mex.2018.10.004. eCollection 2018.

引用本文的文献

1
Real-Time jamming detection using windowing and hybrid machine learning models for pre-saturation alerts.使用加窗和混合机器学习模型进行实时干扰检测以实现预饱和警报。
Sci Rep. 2025 Jul 9;15(1):24748. doi: 10.1038/s41598-025-10567-0.

本文引用的文献

1
Variance-Triggered Two-Step GPS Acquisition.方差触发式两步全球定位系统捕获
Sensors (Basel). 2019 Jul 19;19(14):3177. doi: 10.3390/s19143177.