Hardware-in-the-loop simulations of GPS-based navigation and control for satellite formation flying

Park, Jae Ik; Park, Han Earl; Park, Sang Young; Choi, Kee-Bong

doi:10.1016/j.asr.2010.08.012

Cited by 23 publications

(27 citation statements)

References 20 publications

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“…These testbeds were primarily developed to verify real‐time HIL algorithms and/or test space‐based GNSS navigation systems however, none of them were prototyped for ionospheric remote sensing applications. Because of the similarity of infrastructure, Park et al is chosen as the paradigm for testbed development and benchmarking for validations in this paper.…”

Section: Introductionmentioning

confidence: 92%

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GPS‐based satellite formation flight simulation and applications to ionospheric remote sensing

2020

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The Virginia Tech Formation Flying Testbed (VTFFTB), a GNSS‐based hardware‐in‐the‐loop (HIL) simulation testbed for spacecraft formation flight, is developed and applied to ionospheric remote sensing. The current VTFFTB consists of GNSS RF hardware signal simulators, multi‐constellation multi‐frequency GNSS receivers, a navigation and control system, an STK visualization system, and an ionospheric remote sensing system. GPS signals are emulated using GNSS simulator scenarios that include ionospheric phenomena. A formation of two spacecraft (“chief” and “deputy”) is considered. GNSS receiver data are used to produce space‐based Total Electron Content (TEC) and scintillation measurements. A reference low Earth orbit (LEO) scenario is benchmarked with past simulation results to validate functionality. A LEO formation flying mission is designed to probe two Equatorial Spread F (ESF) scenarios with plasma bubbles. The results investigate the structure of ionospheric irregularities and demonstrate that the GPS‐based satellite formation is able to measure vertical electron density by differencing 1D GPS vertical TEC.

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Section: Introductionmentioning

confidence: 92%

“…Finally, Section 5 summarizes the current accomplishments, issues, and future work. Appendix A presents and analyzes the software and HIL simulation results, as well as validates the performance of the developed VTFFTB by comparing to the results of Park et al…”

Section: Introductionmentioning

confidence: 99%

GPS‐based satellite formation flight simulation and applications to ionospheric remote sensing

2020

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“…Total simulation time was set to 100 min, with GPS an measurement data obtained every second. GPS signals were simulated using the GSS6560 Spirent Navigation Satellite System(GNSS) signal simulator and Spirent SimGEN program, while the AsteRx borne GPS receiver was used to obtain raw GPS measurements (Park et al 2010). The number of obs GPS satellites is presented in Fig.…”

Section: Simulation Settingsmentioning

confidence: 99%

“…When GPS integer ambiguity is exactly known, millimeter-level carrier-phase measurement precision can be achieved (Hofmann-Wellenhof et al 2001). Park et al (2010) obtained centimeter-level three dimensional (3D) Root-Mean-Square (RMS) position accuracy in hardwarein-the-loop simulations of formation-flying satellites using millimeter-level carrier-phase measurement data.…”

Section: Introductionmentioning

confidence: 99%

Improved GPS-based Satellite Relative Navigation Using Femtosecond Laser Relative Distance Measurements

Park

Lee

et al. 2016

Journal of Astronomy and Space Sciences

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“…A hardware-in-the-loop simulator (HILS) was designed as a test-bed to simulate space missions with GPS signal and laser ranging data [4][5]. A relative navigation algorithm based on laser ranging was developed [6].…”

Section: Introductionmentioning

confidence: 99%

A Satellite Relative Navigation based on Hardware Characteristics of Femtosecond Laser

Kang

Park²,

Lee

2017

World Congress on Mechanical, Chemical, and Material Engineering

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-This study presents a satellite relative navigation system based on using a femtosecond laser distance meter. The satellite relative navigation system includes some hardware properties of an actual laser instrument in order to estimate relative distance between satellites in formation flying. To obtain the laser distance data, hardware parameters of a laser distance meter are updated and noises from elements of the laser instrument are added. Relative navigation simulation utilizing the updated measurement data is conducted, and the consequent results are compared with those from simulation with existing measurement data. In addition, a relationship is provided that is about lens radius, laser power and a limit distance defined to represent performance of the distance meter. With this relationship, we can acquire a relative distance range appropriate to use a femtosecond laser distance meter for space missions in formation flying.

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Hardware-in-the-loop simulations of GPS-based navigation and control for satellite formation flying

Cited by 23 publications

References 20 publications

GPS‐based satellite formation flight simulation and applications to ionospheric remote sensing

GPS‐based satellite formation flight simulation and applications to ionospheric remote sensing

Improved GPS-based Satellite Relative Navigation Using Femtosecond Laser Relative Distance Measurements

A Satellite Relative Navigation based on Hardware Characteristics of Femtosecond Laser

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