A GNSS Interference Monitoring Method with Low False Alarm and Low Missed Detection Probability

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Abstract:

Interference monitoring and analysis for GNSS frequency bands plays an important role in construction and development of satellite navigation systems, which can promote interference source locating, and has much benefit for system construction and the development of anti-jamming equipments. Due to high satellite orbits, GNSS signals reached the ground are very weak and submerged below the thermal noise, which makes it vulnerable to interference. Interference sources for satellite navigation system require only a small transmission power; however, a significant interference effect can be obtained. Therefore, a high sensitivity is needed by interference monitoring for satellite navigation system. The interference judgment threshold is close to thermal noise power, which often causes a higher probability of false alarm. It is very important to reduce the probability of false alarm at the same time to ensure high sensitivity. In this paper, a high sensitivity (low missed detection probability) and low false alarm interference monitoring method is proposed, a dual decision threshold is designed, thus the probability of false alarm can be effectively reduced at the same time of identifying interference accurately. The experimental results demonstrated the effectiveness of the algorithm.

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605-610

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Tian Aiguo, Liu Zhichun, Du Liming, Zhang Faxiang. GPS Interference Monitoring Technique[J]. GNSS World of China, 2008, 33(3).

Google Scholar

[2] Tan Xianyu. Research on GPS Application and Its Interference Countermeasur es in Navigation War[J]. Modern Defence Technology, 2001, 29(3).

Google Scholar

[3] Fei Hualian. GPS Interference and Anti-interference Technology in Navigation War[J]. Avionics Technology, 2001, 32(1).

Google Scholar

[4] Dai Xueyang, Xu Hui. Inspection Technology of Satellite Interference Research[J]. Computer Measurement & Control, 2005, 13(2): 1307-1310.

Google Scholar

[5] Yin Fulian, Guo Lili, Lu Manhong. Research on common interference detection techniques of spread spectrum TT&C systems[J]. Systems Engineering and Electronics, 2009, 31(9): 2195-2199.

Google Scholar

[6] Wang Lei, Xie Shuguo. Analysis methodology of interference from radar to spectrum spread communication system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(9).

Google Scholar

[7] Mu Libo, Huo Zhiyong. Research on Threshold Detection and Interference Processing in Frequency Domain Anti-jamming[J]. China Computer & Network, 2010, 36(10).

Google Scholar

[8] Xue Feng, Zhang Jun. Research on GPS Receiver Autonomous Interference Detection[J]. Radio Engineering of China, 2009, 39(7).

Google Scholar

[9] Huang Yuda, Wang Junmin, Zhao Hongzhuan, Wang Yiran. An Design of GPS Signal Detection and Interference Based on Broadband Noise Interference[J]. Science Technology and Engineering, 2012, 12(18).

Google Scholar

[10] Wu Hao, Lu Wei, Zhang Hang. Algorithm for Compound Jamming Auto-recognition Based on Inspecting Spectrum of Satellite Communication [J]. Journal of System Simulation, 2008, 20(17): 4.

Google Scholar

[11] Lou Zhigang, Zhang Jie. Jamming Monitoring Technology for Satellite System[J]. Radio Engineering of China, 2008, 38(9).

Google Scholar