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논문 기본 정보

자료유형
학술저널
저자정보
Jeong Hwan Yang (Seoul National University) Chang Ho Kang (Seoul National University) Sun Young Kim (Seoul National University) Chan Gook Park (Seoul National University)
저널정보
한국항공우주학회 International Journal of Aeronautical and Space Sciences International Journal of Aeronautical and Space Sciences Volume.13 Number.4
발행연도
2012.12
수록면
491 - 498 (8page)

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초록· 키워드

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A Ground Based Augmentation System (GBAS) is an enabling technology for an aircraft’s precision approach based on a Global Navigation Satellite System (GNSS). However, GBAS is vulnerable to interference, so effective GNSS interference detection and mitigation methods need to be employed. In this paper, an intentional GNSS interference detection and characterization algorithm is proposed. The algorithm uses Automatic Gain Control (AGC) gain and adaptive notch filter parameters to classify types of incoming interference and to characterize them. The AGC gain and adaptive lattice IIR notch filter parameter values in GNSS receivers are examined according to interference types and power levels. Based on those data, the interference detection and characterization algorithm is developed and Monte Carlo simulations are carried out for performance analysis of the proposed method. Here, the proposed algorithm is used to detect and characterize single-tone continuous wave interference, swept continuous wave interference, and band-limited white Gaussian noise. The algorithm can be used for GNSS interference monitoring in an excessive Radio Frequency Interference environment which causes loss of receiver tracking. This interference detection and characterization algorithm will be used to enhance the interference mitigation algorithm.

목차

Abstract
1. Introduction
2. GNSS Signal and Interference Simulator
3. AGC and Adaptive Lattice IIR Notch Filter Parameters for Interference Detection
4. Interference Detection and Characterization Algorithm
5. Performance Evaluation of the Proposed Algorithm
6. Conclusion
Acknowledgement
References

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UCI(KEPA) : I410-ECN-0101-2014-558-000541731