A novel adaptive anti-interference algorithm based on negative diagonal loading for spoofing and jamming in Global Navigation Satellite System
- Авторлар: Bao L.N.1,2,3, Wu R.B.3, Lu D.3, Wang W.Y.3
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Мекемелер:
- School of Electronic Information Engineering
- State Key Laboratary of Satellite Navigation System and Equipment Technology
- Tianjin Key Laboratory for Advanced Signal Processing
- Шығарылым: Том 61, № 2 (2016)
- Беттер: 157-164
- Бөлім: Theory and Methods of Signal Processing
- URL: https://journals.rcsi.science/1064-2269/article/view/196766
- DOI: https://doi.org/10.1134/S1064226916020017
- ID: 196766
Дәйексөз келтіру
Аннотация
Spoofing and jamming are two kinds of significant interferences in Global Navigation Satellite System (GNSS). When they coexist in GNSS propagation environment, interference suppression becomes more difficult. Conventional power inversion (PI) algorithm can reject jamming effectively, but has different influences on repeat spoofing when the different numbers of elements are used in an antenna array. Nevertheless, repeat spoofing still has the capability of deception after being processed by the PI algorithm. In the paper, different influences have been analyzed and a blind adaptive anti-interference algorithm is proposed based on negative diagonal loading technique. The proposed method can adaptively reject spoofing and jamming simultaneously without estimating the direction-of-arrivals (DOAs) of them, and ensure that authentic satellite signal can be acquired by the GNSS receiver without other treatment of repeat spoofing. Simulation results show the effectiveness of the new method.
Авторлар туралы
L. Bao
School of Electronic Information Engineering; State Key Laboratary of Satellite Navigation System and Equipment Technology; Tianjin Key Laboratory for Advanced Signal Processing
Email: rbwu@cauc.edu.cn
ҚХР, Tianjin, 300072; Shijiazhuang; Tianjin, 300300
R. Wu
Tianjin Key Laboratory for Advanced Signal Processing
Хат алмасуға жауапты Автор.
Email: rbwu@cauc.edu.cn
ҚХР, Tianjin, 300300
D. Lu
Tianjin Key Laboratory for Advanced Signal Processing
Email: rbwu@cauc.edu.cn
ҚХР, Tianjin, 300300
W. Wang
Tianjin Key Laboratory for Advanced Signal Processing
Email: rbwu@cauc.edu.cn
ҚХР, Tianjin, 300300
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