scholarly journals Application of nonlinear filtering to navigation system design using passive sensors

2001 ◽  
Vol 37 (1) ◽  
pp. 158-172 ◽  
Author(s):  
I. Kaminer ◽  
Wei Kang ◽  
O. Yakimenko ◽  
A. Pascoal
Keyword(s):  
System Design ◽  
Navigation System ◽  
Nonlinear Filtering ◽  
Passive Sensors

Precision navigation system design for Moon penetrator

2016 ◽  
Vol 88 (6) ◽  
pp. 791-798
Author(s):  
Xiaogang Wang ◽  
Wutao Qin ◽  
Yuliang Bai ◽  
Naigang Cui
Keyword(s):  
System Design ◽  
Kalman Filtering ◽  
Navigation System ◽  
Estimation Accuracy ◽  
Line Of Sight ◽  
Accurate Estimation ◽  
Navigation Systems ◽  
Vision Sensor ◽  
Content Type ◽  
Sigma Point

Purpose Penetrator plays an important role in the exploration of Moon and Mars. The navigation method is a key technology during the development of penetrator. To meet the high accuracy requirements of Moon penetrator, this paper aims to propose two kinds of navigation systems. Design/methodology/approach The line of sight of vision sensor between the penetrator and Moon orbiter could be utilized as the measurement during the navigation system design. However, the analysis of observability shows that the navigation system cannot estimate the position and velocity of penetrator, when the line of sight measurement is the only resource of information. Therefore, the Doppler measurement due to the relative motion between penetrator and the orbiter is used as the supplement. The other option is the relative range measurement between penetrator and the orbiter. The sigma-point Kalman Filtering is implemented to fuse the information from the vision sensor and Doppler or rangefinder. The observability of two navigation system is analyzed. Findings The sigma-point Kalman filtering could be used based on vision sensor and Doppler radar or laser rangefinder to give an accurate estimation of Moon penetrator position and velocity without increasing the payload of Moon penetrator or decreasing the estimation accuracy. However, the simulation result shows that the last method is better. The observability analysis also proves this conclusion. Practical implications Two navigation systems are proposed, and the simulations show that both systems can provide accurate estimation of states of penetrator. Originality/value Two navigation methods are proposed, and the observability of these navigation systems is analyzed. The sigma-point Kalman filtering is first introduced to the vision-based navigation system for Moon penetrator to provide precision navigation during the descent phase of Moon penetrator.

scholarly journals Enhanced GPS Measurements Simulation for Space-oriented Navigation System Design

2010 ◽  
Vol 23 (4) ◽  
pp. 438-446 ◽  
Author(s):  
Wang Liduan ◽  
Zhai Chuanrun ◽  
Jin Wenrui ◽  
Zhan Xingqun
Keyword(s):  
System Design ◽  
Navigation System ◽  
Gps Measurements

Optical-Mechanical-Electrical Integrative Design of Fiber Optic Gyro/Beidou/Odometer Integrated Navigation System

2014 ◽  
Vol 644-650 ◽  
pp. 1346-1350
Author(s):  
Xiao Yue Zhang ◽  
Xiao Jing Yi ◽  
Chun Xi Zhang
Keyword(s):  
System Design ◽  
Navigation System ◽  
Fiber Optic ◽  
Design Method ◽  
System Structure ◽  
Integrated Navigation ◽  
Fiber Optic Gyro ◽  
Integrated Navigation System ◽  
Vehicle Test ◽  
Integrative Design

To improve the reliability, real-time performance and maintainability of navigation system, an optical-mechanical-electrical integrative design method of the fiber optic gyro inertial navigation /beidou/odometer integrated navigation system is proposed. Based on the basic working principle of the integrated navigation system, design of system structure and signal connection are implemented. In the integrated navigation system, all-fixed-structure, instrument and system integrative design and modularization design are used. At last, the integrated navigation system is developed, north seeking test and vehicle test are carried out to demonstrate the validity of the referred system design.

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