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논문 기본 정보

자료유형
학술저널
저자정보
Dae Hee Won (University of Colorado) Jongsun Ahn (Konkuk University) Sangkyung Sung (Konkuk University) Chulsoo Lee (LIG Nex1) Sungchun Bu (LIG Nex1) Jeagyu Jang (Agency for Defense Development) Young Jae Lee (Konkuk University)
저널정보
한국항공우주학회 International Journal of Aeronautical and Space Sciences International Journal of Aeronautical and Space Sciences Volume.16 Number.3
발행연도
2015.9
수록면
437 - 444 (8page)

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초록· 키워드

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Satellite selection and exclusion techniques have been applied to the global navigation satellite system (GNSS) with the aim of achieving a balance between navigational performance and computational efficiency. Conventional approaches to satellite selection based on the best dilution of precision (DOP) are excessively computational and complicated. This paper proposes a new method that applies a geometric sensitivity index of individual GNSS satellites. The sensitivity index is derived using the inner product of the line of sight (LOS) vector of each satellite. First, the LOS vector is computed, which accounts for the geometry between the satellite and user positions. Second, the inner product of each pair of LOS vectors is calculated, which indicates the proximities of the satellites to one another. The proximity can be determined according to the sensitivity of each satellite. A post-processing test was conducted to verify the reliability of the proposed method. The proposed index and the results of a conventional approach that measures the dilution of precision (DOP) were compared. The test results demonstrate that the proposed index produces results that are within 96% of those of the conventional approach and reduces the computational burden. This index can be utilized to estimate the sensitivity of individual satellites, obtaining a navigation solution. Therefore, the proposed index applies to satellite selection and exclusion as well as to the sensitivity analyses of multiple GNSS applications.

목차

Abstract
1. Introduction
2. GNSS Observation
3. Optimal Performance Index
4. Proposed Sensitivity Index
5. Tests and Analysis
6. Conclusion
References

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