The accuracy of relative navigation system

Suborbital Flight Test of a Prototype Terrain-Relative Navigation System

AIAA Infotech@Aerospace 2007 Conference and Exhibit ◽

10.2514/6.2007-2896 ◽

2007 ◽

Cited By ~ 3

Author(s):

Calina Seybold ◽

George Chen ◽

Paolo Bellutta ◽

Andrew Johnson ◽

Larry Matthies ◽

...

Keyword(s):

Navigation System ◽

Flight Test ◽

Relative Navigation ◽

Suborbital Flight

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Adaptive Hybrid Robust Filter for Multi-Sensor Relative Navigation System

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2021.3098739 ◽

2021 ◽

pp. 1-15

Author(s):

Jun Xiong ◽

Joon Wayn Cheong ◽

Zhi Xiong ◽

Andrew G. Dempster ◽

Shiwei Tian ◽

...

Keyword(s):

Navigation System ◽

Relative Navigation

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VISUAL-BASED INTEGRATED NAVIGATION SYSTEM APPLIED TO A SIMULATION OF LUNAR MODULE LANDING

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xliii-b1-2020-305-2020 ◽

2020 ◽

Vol XLIII-B1-2020 ◽

pp. 305-313

Author(s):

C. T. Kuo ◽

Y. T. Tien ◽

K. W. Chiang

Keyword(s):

Lunar Surface ◽

Navigation System ◽

Poor Performance ◽

Initial Position ◽

Relative Navigation ◽

Integrated Navigation ◽

Space Technology ◽

Integrated Navigation System ◽

Lunar Landing ◽

Landing Module

Abstract. With the development of space technology, more and more lunar researches are performed by different countries. For the lunar landing mission success, the lunar landing module should equip with advanced Positioning and Orientation System (POS) for the navigation requirements. For the pinpoint landing mission formulated by NASA, a good POS with error less than 100 meters is needed in order to make the lunar module land safely at the exact destination on lunar surface. However, the existing technologies for lunar navigation, such as satellite positioning and star tracker, have poor performance for the navigation requirements. The visual-based positioning technology is an alternative way to make sure a lunar landing module reaches the destination. There are two types of visual-based positioning technology, absolute and relative navigation. The relative navigation system can provide the solution at a higher rate, but the error would accumulate over time. On the contrary, the absolute navigation could provide an initial position or updates of position and attitude for relative navigation. Thus, the integrated navigation system from those two methods can take advantage of both stand-alone systems. On the other hand, the Inertial Navigation System (INS) can help it overcome the disadvantage that the images much closer to the lunar surface are not available. This study shows an integrated navigation system that integrates a visual-based navigation system and an INS, which is implemented in a simulated lunar surface.

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Selected Aspects of Using the Telemetry Method in Synthesis of RelNav System for Air Traffic Control

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17010213 ◽

2019 ◽

Vol 17 (1) ◽

pp. 213 ◽

Cited By ~ 4

Author(s):

Milan Džunda ◽

Natália Kotianová ◽

Peter Dzurovčin ◽

Stanislav Szabo ◽

Edina Jenčová ◽

...

Keyword(s):

Computer Simulation ◽

Traffic Control ◽

Navigation System ◽

Traffic Management ◽

Air Traffic Control ◽

Air Traffic Management ◽

Air Traffic ◽

Relative Navigation ◽

Positioning Accuracy ◽

Satellite Navigation System

Accuracy is an important factor in air traffic management which is why high requirements are necessary for each navigation system. The aim of this article is to describe the principles of the RelNav system and telemetry and their accuracy. We present the algorithms of the relative navigation system, which could be used for air traffic control in the case of the unavailability of satellite navigation system signals. This article sums up the different positioning methods, and deals with the accuracy of the relative navigation system (RelNav). Furthermore, the article considers the factors that influence the positioning accuracy. For this task, a computer simulation was created to evaluate the accuracy of the telemetric method. Next, we discuss the principles of telemetry and algorithms for calculating the position of the flying object (FO).

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