[1] Sun Minhong, Shao Zhangyi, Bao Jianrong, et al. GNSS spoofing detection based on uncultivated wolf pack algorithm [J]. Journal of Southeast University (English Edition), 2017, 33 (1): 1-4. [doi:10.3969/j.issn.1003-7985.2017.01.001]

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GNSS spoofing detection based on uncultivated wolf pack algorithm()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

33

Issue:

2017 1

Page:

1-4

Research Field:

Electromagnetic Field and Microwave Technology

Publishing date:

2017-03-30

Info

Title:

GNSS spoofing detection based on uncultivated wolf pack algorithm

Author(s):

Sun Minhong¹;  2;  Shao Zhangyi²;  Bao Jianrong²;  Yu Xutao¹

¹School of Information Science and Engineering, Southeast University, Nanjing 210096, China
²School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China

Keywords:

global navigation satellite system(GNSS);  spoofing detection;  system identification;  uncultivated wolf pack algorithm

PACS:

TN973

DOI:

10.3969/j.issn.1003-7985.2017.01.001

Abstract:

In order to solve the problem that the global navigation satellite system(GNSS)receivers can hardly detect the GNSS spoofing when they are deceived by a spoofer, a model-based approach for the identification of the GNSS spoofing is proposed. First, a Hammerstein model is applied to model the spoofer/GNSS transmitter and the wireless channel. Then, a novel method based on the uncultivated wolf pack algorithm(UWPA)is proposed to estimate the model parameters. Taking the estimated model parameters as a feature vector, the identification of the spoofing is realized by comparing the Euclidean distance between the feature vectors. Simulations verify the effectiveness and the robustness of the proposed method.The results show that, compared with the other identification algorithms, such as least square(LS), the iterative method and the bat-inspired algorithm(BA), although the UWPA has a little more time-complexity than the LS and the BA algorithm, it has better estimation precision of the model parameters and higher identification rate of the GNSS spoofing, even for relative low signal-to-noise ratios.

References:

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Memo

Memo:

Biography: Sun Minhong(1974—), male, doctor, associate professor, cougar@hdu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61271214, 61471152), the Postdoctoral Science Foundation of Jiangsu Province(No.1402023C), the Natural Science Foundation of Zhejiang Province(No.LZ14F010003).
Citation: Sun Minhong, Shao Zhangyi, Bao Jianrong, et al. GNSS spoofing detection based on uncultivated wolf pack algorithm.[J].Journal of Southeast University(English Edition), 2017, 33(1):1-4.DOI:10.3969/j.issn.1003-7985.2017.01.001.

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