103 research outputs found

    Integrity monitoring for precise orbit determination of LEO satellites

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    Due to an increasing requirement for high accuracy orbital information for low Earth orbit (LEO) satellites, precise orbit determination (POD) of LEO satellites is a topic of growing interest. To assure the safety and reliability of the applications requiring high accuracy LEO orbits in near-real-time, integrity monitoring (IM) is an essential operation of the POD process. In this contribution, the IM strategy for LEO POD in both the kinematic and reduced-dynamic modes is investigated. The overbounding parameters of the signal-in-space range error are investigated for the GPS products provided by the International GNSS Serviceโ€™s Real-Time Service and the Multi-GNSS Advanced Demonstration of Orbit and Clock Analysis service. Benefting from the dynamic models used and the improved model strength, the test results based on the data of the LEO satellite GRACE FO-1 show that the average-case mean protection levels (PLs) can be reduced from about 3โ€“4 m in the kinematic mode to about 1 m in the reduced-dynamic mode in the radial, along-track and cross-track directions. The overbounding mean values of the SISRE play the dominant role in the fnal PLs. In the reduced-dynamic mode and averagecase projection, the IM availabilities reach above 99% in the radial, along-track and cross-track directions with the alert limit (AL) set to 2 m. The values are still above 98% with the AL set to 4 m, when the duty cycle of tracking is reduced to 40%, e.g., in the case of power limits for miniature satellites such as CubeSats

    A Study on Real-time GPS Precise Orbit Determination System and Message Design of GPS Precise Orbit Covariance

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€,2020. 2. ๊ธฐ์ฐฝ๋ˆ.This study developed a centimeter-level real-time GPS precise orbit determination system for precise navigation and proposed an efficient message design of providing covariance. Global navigation satellite system is a typical navigation system that utilizes a number of satellites to provide the user's location and time. User performs navigation using satellite position and satellite time information. The orbit and clock error of a satellite contains meter-level errors and affects the user's position. Therefore, real-time precise orbit information of a centimeter-level is essential for real-time precise navigation applications such as drones, autonomous vehicles, and artificial intelligence vehicles. In addition, since the covariance of real-time precision orbit can be utilized to improve the user's position accuracy, fault detection, and calculate the level of position error, a system is needed to estimate the precise orbit and covariance. A real-time orbit determination system can estimate covariance of precise orbits using orbit dynamics and globally distributed network observations. The existing real-time orbit determination estimates the orbit error and clock error of the satellite together, but in this study, double differential measurements are used to estimate the orbit information separated from the clock error. This provides information in orbit alone, allowing relative navigation users to use it. Also, in addition to Earth's gravity, solar and lunar gravity, solar radiation pressure, gravitational field variation by tidal effect, and general relativity effects are analyzed and considered precisely. Most perturbations are well modeled, but in the case of solar radiation, estimates should be made in real-time as an environmentally sensitive component. To this end, the effects by earth and moon shadows were analyzed, and orbit determination taking into account the effects of the moon's shadow. The performance of a developed real-time precise orbit determination system was verified with IGS final orbit. 3D error and radius direction error are RMS 8cm and 2cm, respectively. Using this, the user expects to be able to improve navigation performance by utilizing precise orbits and to use covariance information to calculate the user's positional error level. Furthermore, it proposed an efficient way to provide covariance estimated in real-time GPS precision orbital determination system. Covariance of precise orbit information is highly utilized such as monitoring integrity and improving user location performance. However, since no product is currently providing orbit full covariance information, the covariance is estimated using the real-time precise orbit determination system established in this study and the provision method is proposed. The estimated covariance analyzed the interaxial correlation in the various coordinate systems, suggesting a coordinate system to ignore the interaxial correlation. The proposed measure could reduce the number of messages by 33 %, rather than providing the entire covariance information. The proposed covariance provision was evaluated at orbit confidence level in measurement and user confidence level in position error. Users' confidence level has been reduced to 30% since the satellite orbit's confidence level using covariance provides up to 55% more information than previously. As such, it is expected that the provision of covariance will improve the availability of precision navigation systems by reducing user confidence In this paper, it is expected that not only the real-time precise orbit determination system will be secured, but the system verification using actual data will be carried out so that it can be utilized in the real-time orbit determination system of the future Korean-type satellite navigation system. In addition, the proposed covariance provision could contribute to improved user location performance and integrity monitoring.์ตœ๊ทผ ์‹ค์‹œ๊ฐ„ ์‚ฌ์šฉ์ž์˜ ์ •๋ฐ€ ์œ„์น˜๋ฅผ ํ™œ์šฉํ•œ ๋“œ๋ก , ์ž์œจ์ฃผํ–‰ ์ฐจ๋Ÿ‰, ์ธ๊ณต์ง€๋Šฅ ์ž๋™์ฐจ ๋“ฑ์˜ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ, ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„์— ๊ด€ํ•œ ๊ด€์‹ฌ์ด ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค. ์‹ค์‹œ๊ฐ„ ์ •๋ฐ€๊ถค๋„๋Š” ์‹ค์‹œ๊ฐ„ ์‚ฌ์šฉ์ž์˜ ์œ„์น˜ ์ •ํ™•๋„๋ฅผ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ๊ณ , ์ •๋ฐ€ ๊ถค๋„์˜ ๊ณต๋ถ„์‚ฐ์€ ์‚ฌ์šฉ์ž์˜ ์œ„์น˜ ์ •ํ™•๋„ ํ–ฅ์ƒ, ๊ณ ์žฅ ๊ฐ์ง€, ์œ„์น˜ ์‹ ๋ขฐ ์ˆ˜์ค€ ๊ณ„์‚ฐ ๋“ฑ์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์–ด ์ •๋ฐ€ ๊ถค๋„๋ฟ ์•„๋‹ˆ๋ผ ์ •๋ฐ€ ๊ถค๋„์˜ ๊ณต๋ถ„์‚ฐ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋Š” ์‹œ์Šคํ…œ์ด ์š”๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์„ผํ‹ฐ๋ฏธํ„ฐ ์ˆ˜์ค€์˜ ์ •๋ฐ€ ๊ถค๋„ ๋ฐ ๊ณต๋ถ„์‚ฐ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋Š” ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ํšจ์œจ์ ์ธ ๊ณต๋ถ„์‚ฐ ์ œ๊ณต ๋ฐฉ์•ˆ์„ ์ œ์•ˆํ•œ๋‹ค. ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ์€ ์ •๋ฐ€ ๊ถค๋„ ์˜ˆ์ธก ๊ธฐ์ˆ ๊ณผ ์„ญ๋™ ๋ชจ๋ธ ๋ณ€์ˆ˜ ์ถ”์ •, ์ž๋ฃŒ ์ฒ˜๋ฆฌ ํ•„ํ„ฐ ๋“ฑ์˜ ๋ณตํ•ฉ ์‹œ์Šคํ…œ์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ํ™•์žฅํ˜• ์นผ๋งŒํ•„ํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ์„ ๊ตฌํ˜„ํ•˜์—ฌ, ์‹ค์‹œ๊ฐ„ ์ •๋ฐ€ ๊ถค๋„ ๋ฐ ์ •๋ฐ€ ๊ถค๋„ ๊ณต๋ถ„์‚ฐ์„ ์ถ”์ •ํ•œ๋‹ค. ๊ธฐ์กด ์‹ค์‹œ๊ฐ„ ๊ถค๋„ ๊ฒฐ์ • ์—ฐ๊ตฌ๋Š” ์œ„์„ฑ์˜ ๊ถค๋„ ์˜ค์ฐจ์™€ ์‹œ๊ณ„์˜ค์ฐจ๋ฅผ ํ•จ๊ป˜ ์ถ”์ •ํ•˜์ง€๋งŒ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด์ค‘์ฐจ๋ถ„ ์ธก์ •์น˜๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ถค๋„ ๋‹จ๋…์˜ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ๋˜ํ•œ, GPS ์œ„์„ฑ ํ™˜๊ฒฝ์˜ ๊ถค๋„ ์„ญ๋™๋ ฅ์ธ ํƒœ์–‘๊ณผ ๋‹ฌ์˜ ์ค‘๋ ฅ, ํƒœ์–‘ ๋ณต์‚ฌ์••, ์กฐ์„์— ์˜ํ•œ ์ค‘๋ ฅ์žฅ ๋ณ€ํ™”, ์ผ๋ฐ˜ ์ƒ๋Œ€์„ฑ ํšจ๊ณผ์˜ ํฌ๊ธฐ๋ฅผ ๋ถ„์„ํ•˜์—ฌ, ๊ถค๋„ ํ™˜๊ฒฝ์„ ๋ถ„์„ํ–ˆ๋‹ค. ์ด ๋•Œ, ์ง€๊ตฌ ๋ฐ ๋‹ฌ ๊ทธ๋ฆผ์ž ํ™˜๊ฒฝ์„ ๋ถ„์„ํ•˜์—ฌ, ๋‹ค์–‘ํ•œ ๊ถค๋„ ํ™˜๊ฒฝ์—์„œ ๊ถค๋„ ๊ฒฐ์ • ์„ฑ๋Šฅ์„ ๋ถ„์„ํ–ˆ๋‹ค. ๊ฐœ๋ฐœ๋œ ์‹ค์‹œ๊ฐ„ ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ์˜ ์„ฑ๋Šฅ์€ IGS ํ›„์ฒ˜๋ฆฌ ์ •๋ฐ€ ๊ถค๋„์™€ ๋น„๊ตํ•˜์—ฌ 3D ์˜ค์ฐจ๋Š” ์œ„์„ฑ ํ‰๊ท  RMS 8cm, ๋ฐ˜๊ฒฝ ๋ฐฉํ–ฅ์œผ๋กœ 2cm ์ˆ˜์ค€์œผ๋กœ ๊ฒ€์ฆํ•˜์˜€๊ณ , ์ถ”์ •๋œ ๊ถค๋„์˜ ๊ณต๋ถ„์‚ฐ ์ •๋ณด๋Š” ์˜ค์ฐจ์˜ ํ™•๋ฅ  ๋ถ„ํฌ ๋ฐ ๋ˆ„์  ํ™•๋ฅ ๋ถ„ํฌ๋ฅผ ํ™œ์šฉํ•˜์—ฌ, ์ž˜ ๋ฐ˜์˜ํ•จ์„ ํ™•์ธํ–ˆ๋‹ค. ๋” ๋‚˜์•„๊ฐ€ ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ณต๋ถ„์‚ฐ์˜ ํŠน์ง•์„ ๋ถ„์„ํ•˜๊ณ , ํšจ์œจ์ ์ธ ๊ณต๋ถ„์‚ฐ ์ œ๊ณต ๋ฐฉ์•ˆ์„ ์ œ์•ˆํ–ˆ๋‹ค. ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„์˜ ์‹ ๋ขฐ์ˆ˜์ค€์€ ์‚ฌ์šฉ์ž ์œ„์น˜ ์•ˆ์ „์„ ์œ„ํ•œ ๋ฌด๊ฒฐ์„ฑ, ๊ฐ€์šฉ์„ฑ ๋“ฑ์˜ ๋ถ„์•ผ์—์„œ ํ™œ์šฉ๋„๊ฐ€ ๋†’๋‹ค. ํ˜„์žฌ ์ •๋ฐ€ ๊ถค๋„์˜ ์‹ ๋ขฐ์ˆ˜์ค€์€ ์ผ๋ฐ˜์ ์œผ๋กœ User range accuracy๋กœ ์ œ๊ณต๋˜๊ณ  ์žˆ์œผ๋‚˜, ์ตœ๊ทผ ๊ถค๋„ ์˜ค์ฐจ์˜ ์ „์ฒด ๊ณต๋ถ„์‚ฐ์„ ์ œ๊ณตํ•˜๋Š” ๋ฐฉ์•ˆ์ด ์ œ์•ˆ๋˜๊ณ  ์žˆ๋‹ค. ์ •๋ฐ€ ๊ถค๋„์˜ ์ „์ฒด ๊ณต๋ถ„์‚ฐ์€ ์‚ฌ์šฉ์ž ์œ„์น˜ ์„ฑ๋Šฅ ๊ฐœ์„ , ๊ณ ์žฅ ๊ฐ์ง€ ์„ฑ๋Šฅ ํ–ฅ์ƒ, ๊ฐ€์šฉ์„ฑ ์ฆ๊ฐ€ ๋“ฑ์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ์ด ์˜ˆ์ธก๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ํ˜„์žฌ๊นŒ์ง€ ์‹ค์‹œ๊ฐ„ ๊ถค๋„ ์ „์ฒด ๊ณต๋ถ„์‚ฐ์„ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋Š” ์ œํ’ˆ์ด ์—†๊ณ , ํ–ฅํ›„ ์ „์ฒด ๊ณต๋ถ„์‚ฐ์„ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•ด ๊ด€๋ จ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•œ ์ƒํ™ฉ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋‹ค์–‘ํ•œ ์ขŒํ‘œ๊ณ„์—์„œ ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„์˜ ์ถ•๊ฐ„ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•จ์œผ๋กœ์จ ์ถ•๊ฐ„ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ฌด์‹œํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์„ ์ œ์•ˆํ–ˆ๋‹ค. ์ œ์•ˆ๋œ ๋ฐฉ์•ˆ์€ ์ „์ฒด ๊ณต๋ถ„์‚ฐ ์ •๋ณด๋ฅผ ์ œ๊ณต์„ ์œ„ํ•œ ๋ฉ”์‹œ์ง€ ๋Ÿ‰์„ 33% ๊ฐ์†Œ์‹œํ‚ฌ ์ˆ˜ ์žˆ๊ณ , ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๊ธฐ์กด ๋ฐฉ๋ฒ• ๋Œ€๋น„ ์œ„์„ฑ ๊ถค๋„์˜ ์ธก์ •์น˜ ๋‚ด ์˜ค์ฐจ ์‹ ๋ขฐ ์ˆ˜์ค€์˜ ํฌ๊ธฐ๋Š” 55%, ์‚ฌ์šฉ์ž์˜ ์œ„์น˜ ์‹ ๋ขฐ ์ˆ˜์ค€์˜ ํฌ๊ธฐ๋Š” 30% ์ˆ˜์ค€์œผ๋กœ ๊ฐ์†Œํ•จ์„ ํ™•์ธํ–ˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์€ ์ „์ฒด ๊ณต๋ถ„์‚ฐ ์ œ๊ณต์„ ์œ„ํ•œ ๋ฉ”์‹œ์ง€๋Ÿ‰์„ ์ค„์ด๊ณ , ์ •๋ฐ€ ํ•ญ๋ฒ• ์‹œ์Šคํ…œ์˜ ๊ฐ€์šฉ์„ฑ์„ ๊ฐœ์„ ์‹œํ‚ฌ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ์„ ์ •๋ฐ€ํ•˜๊ฒŒ ๊ตฌํ˜„ํ•˜์—ฌ, ๊ตญ๋‚ด ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ์˜ ์„ฑ๋Šฅ์„ ์„ผํ‹ฐ๋ฏธํ„ฐ ์ˆ˜์ค€์œผ๋กœ ํ–ฅ์ƒ์‹œ์ผฐ์œผ๋ฉฐ, ํšจ์œจ์ ์ธ ๊ถค๋„ ๊ณต๋ถ„์‚ฐ ์ œ๊ณต๋ฐฉ์•ˆ์„ ์ œ์•ˆํ–ˆ๋‹ค. ์‹ค์‹œ๊ฐ„ ๊ตฌ์กฐ์™€ ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ •์˜ ๊ธฐ๋ฐ˜ ๊ธฐ์ˆ ์€ ํ–ฅํ›„ ํ•œ๊ตญํ˜• ์œ„์„ฑํ•ญ๋ฒ• ์‹œ์Šคํ…œ์˜ ์‹ค์‹œ๊ฐ„ ๊ถค๋„ ๊ฒฐ์ •์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค. ๋˜ํ•œ ์ œ์•ˆ๋œ ๊ณต๋ถ„์‚ฐ ์ œ๊ณต ๋ฐฉ์•ˆ์€ GPS ๋ฟ ์•„๋‹ˆ๋ผ ๋‹ค์–‘ํ•œ ์œ„์„ฑํ•ญ๋ฒ• ์‹œ์Šคํ…œ์˜ ๊ณต๋ถ„์‚ฐ ์ œ๊ณต ํŒŒ๋ผ๋ฏธํ„ฐ๋ฅผ ํšจ์œจ์ ์œผ๋กœ ์ œ๊ณตํ•จ์œผ๋กœ์จ ์‚ฌ์šฉ์ž ์œ„์น˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ ๋ฐ ๋ฌด๊ฒฐ์„ฑ ๊ฐ์‹œ ๋“ฑ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.1์žฅ. ์„œ ๋ก  ๏ผ‘ 1. ์—ฐ๊ตฌ ๋™๊ธฐ ๋ฐ ๋ชฉ์  ๏ผ‘ 2. ์—ฐ๊ตฌ ๋™ํ–ฅ ๏ผ“ 1) ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ ๏ผ” 2) ์‹ค์‹œ๊ฐ„ ์ •๋ฐ€ ๊ถค๋„ ์‹ ๋ขฐ์ˆ˜์ค€ ์ œ๊ณต ์—ฐ๊ตฌ ๏ผ– 3. ์—ฐ๊ตฌ ๋‚ด์šฉ ๋ฐ ๋ฐฉ๋ฒ• ๏ผ— 4. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์˜ ๊ธฐ์—ฌ๋„ ๏ผ˜ 2์žฅ. ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ •์„ ์œ„ํ•œ ๊ธฐ๋ณธ ์š”์†Œ ๏ผ‘๏ผ 1. GPS ์‹œ์Šคํ…œ ๏ผ‘๏ผ 1) GPS ์‹œ์Šคํ…œ ๊ฐœ์š” ๏ผ‘๏ผ 2) GPS ์ธก์ •์น˜ ๏ผ‘๏ผ‘ 3) GPS ์ธก์ •์น˜ ๊ธฐํƒ€ ์˜ค์ฐจ ์š”์†Œ ๏ผ‘๏ผ“ 2. IGS ๏ผ’๏ผ 3. ์‹œ๊ฐ„๊ณ„ ๋ฐ ์ขŒํ‘œ๊ณ„ ๏ผ’๏ผ’ 1) ์‹œ๊ฐ„๊ณ„ ๏ผ’๏ผ’ 2) ์ขŒํ‘œ๊ณ„ ๏ผ’๏ผ• 4. GPS ์œ„์„ฑ ๋™์—ญํ•™ ๏ผ’๏ผ— 1) ์ง€๊ตฌ์˜ ์ค‘๋ ฅ ๏ผ’๏ผ˜ 2) 3์ฒด ์ค‘๋ ฅ ๏ผ’๏ผ™ 3) ํƒœ์–‘ ๋ณต์‚ฌ์•• (Solar radiation pressure) ๏ผ“๏ผ 4) ์ง€๊ตฌ ๋ณต์‚ฌ์•• ๏ผ“๏ผ” 5) ์กฐ์„์— ์˜ํ•œ ์ค‘๋ ฅ์žฅ ๋ณ€ํ™” (Tidal effect) ๏ผ“๏ผ” 6) ์ƒ๋Œ€์„ฑ ํšจ๊ณผ ๏ผ“๏ผ– 3์žฅ. ์‹ค์‹œ๊ฐ„ GPS ์œ„์„ฑ ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ ๏ผ“๏ผ˜ 1. ๊ฐœ์š” ๏ผ“๏ผ˜ 2. GPS ์ธก์ •์น˜ ๊ด€์ธก ๋ชจ๋ธ ๏ผ”๏ผ” 3. EKF ํ•„ํ„ฐ ๏ผ”๏ผ– 4. ๊ถค๋„ ์ „ํŒŒ ๋ชจ๋ธ ๏ผ•๏ผ 5. ์ˆ˜์น˜ ์ ๋ถ„ ๋ชจ๋ธ ๏ผ•๏ผ’ 6. ์•Œ๊ณ ๋ฆฌ์ฆ˜ ํšจ์œจํ™” ๏ผ•๏ผ” 4์žฅ. ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ๊ณ„์‚ฐ ๋ฐ ๊ฒ€์ฆ ๏ผ•๏ผ• 1. GPS ๊ถค๋„ ํ™˜๊ฒฝ ๋ถ„์„ ๏ผ•๏ผ• 1) ์ง€๊ตฌ ๊ทธ๋ฆผ์ž ๏ผ•๏ผ– 2) ๋‹ฌ ๊ทธ๋ฆผ์ž ๏ผ–๏ผ 2. ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ ๊ฒ€์ฆ ๊ฒฐ๊ณผ ๏ผ–๏ผ“ 1) ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ ํ™˜๊ฒฝ ๏ผ–๏ผ“ 2) ์‹ค์‹œ๊ฐ„ GPS ์ •๋ฐ€ ๊ถค๋„ ๊ฒฐ์ • ์‹œ์Šคํ…œ ๊ณ„์‚ฐ ๊ฒฐ๊ณผ ๏ผ–๏ผ” 3) ๋‹ฌ ๊ทธ๋ฆผ์ž ๋ชจ๋ธ ์˜ํ–ฅ ๋ถ„์„ ๏ผ–๏ผ™ 5์žฅ. ์‹ค์‹œ๊ฐ„ ์ •๋ฐ€ ํ•ญ๋ฒ• ์‚ฌ์šฉ์ž๋ฅผ ์œ„ํ•œ ๊ณต๋ถ„์‚ฐ ์ œ๊ณต ๋ฐฉ์•ˆ ์„ค๊ณ„ ๏ผ—๏ผ— 1. ๊ถค๋„ ๊ณต๋ถ„์‚ฐ์˜ ์ถ•๊ฐ„ ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„ ๏ผ—๏ผ— 1) ๋‹ค์–‘ํ•œ ์ขŒํ‘œ๊ณ„์—์„œ ๊ถค๋„ ๊ณต๋ถ„์‚ฐ ๋ถ„์„ ๏ผ—๏ผ˜ 2) ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ์ถ•๊ฐ„ ์ƒ๊ด€๊ด€๊ณ„ ๏ผ˜๏ผ“ 3) RSW์™€ RAC ์ขŒํ‘œ๊ณ„์˜ ์ถ•๊ฐ„ ์ƒ๊ด€๊ด€๊ณ„ ๏ผ˜๏ผ– 4) ํšจ์œจ์ ์ธ ์ œ๊ณต๋ฐฉ์•ˆ ์„ค๊ณ„ ๏ผ˜๏ผ˜ 5) ๊ณต๋ถ„์‚ฐ ์ œ๊ณต ๋ฐฉ๋ฒ• ๋ณ„ ๋น„๊ต ๏ผ™๏ผ’ 2. ์‹ค์‹œ๊ฐ„ ์ •๋ฐ€ ํ•ญ๋ฒ• ์‚ฌ์šฉ์ž๋ฅผ ์œ„ํ•œ ์ •๋ฐ€ ๊ถค๋„ ๊ณต๋ถ„์‚ฐ ์ œ๊ณต ๋ฐฉ์•ˆ ๋ฐ ํšจ๊ณผ ๏ผ™๏ผ— 1) ์‚ฌ์šฉ์ž ์œ„์น˜ ์‹ ๋ขฐ ์ˆ˜์ค€๊ณผ ๊ถค๋„ ์˜ค์ฐจ ์‹ ๋ขฐ์ˆ˜์ค€ ๏ผ™๏ผ— 2) ๊ถค๋„ ์‹ ๋ขฐ ์ˆ˜์ค€ ์ œ๊ณต ๋ฐฉ๋ฒ•์˜ ์ข…๋ฅ˜ ๏ผ‘๏ผ๏ผ‘ 3) ์œ„์น˜์— ๋”ฐ๋ฅธ ๊ถค๋„ ์‹ ๋ขฐ์ˆ˜์ค€ ๋ถ„์„ ๏ผ‘๏ผ๏ผ“ 4) ์œ„์น˜์— ๋”ฐ๋ฅธ ์‚ฌ์šฉ์ž ์œ„์น˜ ์‹ ๋ขฐ์ˆ˜์ค€ ๋ถ„์„ ๏ผ‘๏ผ๏ผ™ 6์žฅ. ๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ๊ณผ์ œ ๏ผ‘๏ผ‘๏ผ’ 1. ๊ฒฐ๋ก  ๏ผ‘๏ผ‘๏ผ’ 2. ํ–ฅํ›„ ๊ณผ์ œ ๏ผ‘๏ผ‘๏ผ“ ์ฐธ๊ณ  ๋ฌธํ—Œ ๏ผ‘๏ผ‘๏ผ—Docto

    The 26th Annual Precise Time and Time Interval (PTTI) Applications and Planning Meeting

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    This document is a compilation of technical papers presented at the 26th Annual PTTI Applications and Planning Meeting. Papers are in the following categories: (1) Recent developments in rubidium, cesium, and hydrogen-based frequency standards, and in cryogenic and trapped-ion technology; (2) International and transnational applications of Precise Time and Time Interval technology with emphasis on satellite laser tracking, GLONASS timing, intercomparison of national time scales and international telecommunications; (3) Applications of Precise Time and Time Interval technology to the telecommunications, power distribution, platform positioning, and geophysical survey industries; (4) Applications of PTTI technology to evolving military communications and navigation systems; and (5) Dissemination of precise time and frequency by means of GPS, GLONASS, MILSTAR, LORAN, and synchronous communications satellites

    Performance of Receiver Autonomous Integrity Monitoring (RAIM) for Maritime Operations

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    The use of GNSS in the context of maritime applications has evolved during the past. The International Maritime Organization (IMO) has defined and published requirements for those applications. Comparing the requirements on the one hand specified by ICAO and on the other hand by IMO, significant differences get obvious. A major focus is on the evaluation of the performance of the integrity algorithms. Also concept drivers are discussed

    EGNOS 1046 maritime service assessment

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    The present contribution evaluates how the European Geostationary Navigation Overlay System (EGNOS) meets the International Maritime Organization (IMO) requirements established in its Resolution A.1046 for navigation in harbor entrances, harbor approaches, and coastal waters: 99.8% of signal availability, 99.8% of service availability, 99.97% of service continuity and 10 m of horizontal accuracy. The data campaign comprises two years of data, from 1 May 2016 to 30 April 2018 (i.e., 730 days), involving 108 permanent stations located within 20 km of the coast or in islands across the EGNOS coverage area, EGNOS corrections, and cleansed GPS broadcast navigation data files. We used the GNSS Laboratory Tool Suite (gLAB) to compute the reference coordinates of the stations, the EGNOS solution, as well as the EGNOS service maps. Our results show a signal availability of 99.999%, a horizontal accuracy of 0.91 m at the 95th percentile, and the regions where the IMO requirements on service availability and service continuity are met. In light of the results presented in the paper, the authors suggest the revision of the assumptions made in the EGNOS Maritime Service against those made in EGNOS for civil aviation; in particular, the use of the EGNOS Message Type 10.This research was funded by the European GNSS Agency within the framework Integration of the Fundamental Elements, Contract GSA/OP/12/16/Lot1/SC1, and the APC was funded by the Spanish Ministry of Science, Innovation and Universities Project RTI2018-094295-B-I00.Peer ReviewedPostprint (published version

    Integration of ARAIM technique for integrity performance prediction, procedures development and pre-flight operations

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    Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a new Aircraft Based Augmentation System (ABAS) technique, firstly presented in the two reports of the GNSS Evolutionary Architecture Study (GEAS). The ARAIM technique offers the opportunity to enable GNSS receivers to serve as a primary means of navigation, worldwide, for precision approach down to LPV-200 operation, while at the same time potentially reducing the support which has to be provided by Ground and Satellite Based Augmented Systems (GBAS and SBAS). Previous work analysed ARAIM performance, clearly showing the potential of this new architectures to provide the Required Navigation Performance down to LPV 200 approach procedures. However, almost all of the studies have been performed with respect to fixed points on a grid on the Earthโ€™s surface, with full view of the sky, evaluating ARAIM performance from a geometrical point of view and using nominal performance in simulated scenarios which last several days. Though, the operational configuration was not examined; attitude changes from manoeuvres, obscuration by the aircraft body and shadowing from the surrounding environment could all affect the incoming signal from the GNSS constellations, leading to configurations that could adversely affect the real performance. In this research, ARAIM performances in simulated operational configurations are presented. Four different algorithms were developed that integrate the ARAIM technique for performance prediction analysis. These algorithms could usefully be implemented: โ€ข In the design of instrument approach procedures. The algorithms could be used to improve the procedure of the development of new instrument approaches, reducing time, effort and costs. โ€ข In the aircraft Flight Management Systems. The algorithms could support the pilots in the pre-flight briefing, highlighting possible integrity outage in advance and allowing them to select a different approach or making them aware of the need to utilise additional positioning systems. Increased awareness and better pre-flight planning could ultimately improve the safety of flights and contribute to the safe introduction of GNSS as a viable positioning method for instrument approach. The results showed that the aircraft attitude and the surrounding environment affect the performance of the ARAIM algorithm; each satellite lost generates a peak in the performance parameters that depends on the total number of satellites in view, their relative geometry and on the number of satellites lost at the same time. The main outcome of this research is the identification that the ideal scenario would be to have a tri-constellation system that provides at the same time high redundancy, reliability and increased safety margin

    On the Mobility of Small Aperture Telescopes for Initial Orbit Determination and Apparent Magnitude Derivation of Low Earth Satellites

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    Maintaining Space Domain Awareness (SDA) of satellites in low Earth orbit (LEO) requires effective methods of tracking and characterization. Optical measurements of these objects are generally sparse due to limited access intervals and high angular rates. Light pollution and geographic obstructions may also preclude consistent observations. However, a mobile small aperture telescope grants the ability to minimize such environmental effects, thereby increasing capture likelihoods for objects within this regime. By enhancing LEO satellite visibility in this way, extensive orbital and visual data are obtainable. An 8-inch Meade LX200GPS telescope equipped with a Lumenera SKYnyx2-0M CCD camera comprises the system that conducted observations of LEO. From 22 sessions spanning four months, 76 objects were imaged to provide a data set of 313 streak frames for initial orbit and photometric analyses. An Assumed Circular Orbit formulation provided considerable refinements in semimajor axis and eccentricity, up to one order of magnitude, when compared to a Gauss Extended method. Regarding the use of initial orbits for future pass predictions, the Assumed Circular Orbit angular positions indicated improvements up to 97.4% in accuracy and 65.7% in consistency over Gauss Extended. A photometric study placed the brightest observed visual magnitude at 3.60 mag, and the faintest visible at 9.47 mag. By converting brightness to a physical size, detected objects were approximately 23.8 meters at the largest and 40.6 centimeters at the smallest. Angles and brightness measurements of LEO satellites with mobile platforms may thus benefit the SDA effort

    Integration of ARAIM technique for integrity performance prediction, procedures development and pre-flight operations

    Get PDF
    Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a new Aircraft Based Augmentation System (ABAS) technique, firstly presented in the two reports of the GNSS Evolutionary Architecture Study (GEAS). The ARAIM technique offers the opportunity to enable GNSS receivers to serve as a primary means of navigation, worldwide, for precision approach down to LPV-200 operation, while at the same time potentially reducing the support which has to be provided by Ground and Satellite Based Augmented Systems (GBAS and SBAS). Previous work analysed ARAIM performance, clearly showing the potential of this new architectures to provide the Required Navigation Performance down to LPV 200 approach procedures. However, almost all of the studies have been performed with respect to fixed points on a grid on the Earthโ€™s surface, with full view of the sky, evaluating ARAIM performance from a geometrical point of view and using nominal performance in simulated scenarios which last several days. Though, the operational configuration was not examined; attitude changes from manoeuvres, obscuration by the aircraft body and shadowing from the surrounding environment could all affect the incoming signal from the GNSS constellations, leading to configurations that could adversely affect the real performance. In this research, ARAIM performances in simulated operational configurations are presented. Four different algorithms were developed that integrate the ARAIM technique for performance prediction analysis. These algorithms could usefully be implemented: โ€ข In the design of instrument approach procedures. The algorithms could be used to improve the procedure of the development of new instrument approaches, reducing time, effort and costs. โ€ข In the aircraft Flight Management Systems. The algorithms could support the pilots in the pre-flight briefing, highlighting possible integrity outage in advance and allowing them to select a different approach or making them aware of the need to utilise additional positioning systems. Increased awareness and better pre-flight planning could ultimately improve the safety of flights and contribute to the safe introduction of GNSS as a viable positioning method for instrument approach. The results showed that the aircraft attitude and the surrounding environment affect the performance of the ARAIM algorithm; each satellite lost generates a peak in the performance parameters that depends on the total number of satellites in view, their relative geometry and on the number of satellites lost at the same time. The main outcome of this research is the identification that the ideal scenario would be to have a tri-constellation system that provides at the same time high redundancy, reliability and increased safety margin
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