Satellite Positioning System and Flight Dynamics,

1995 ◽  
Author(s):  
Yuan Jianping
Keyword(s):  
Flight Dynamics ◽  
Positioning System ◽  
Satellite Positioning

NNIC—neural network image compressor for satellite positioning system

2007 ◽  
Vol 60 (8-9) ◽  
pp. 622-630 ◽  
Author(s):  
Pavel Danchenko ◽  
Feodor Lifshits ◽  
Itzhak Orion ◽  
Sion Koren ◽  
Alan D. Solomon ◽  
...  
Keyword(s):  
Neural Network ◽  
Positioning System ◽  
Satellite Positioning ◽  
Image Compressor

High-precision satellite positioning system as a new tool to study the biomechanics of human locomotion

2000 ◽  
Vol 33 (12) ◽  
pp. 1717-1722 ◽  
Author(s):  
Philippe Terrier ◽  
Quentin Ladetto ◽  
Bertrand Merminod ◽  
Yves Schutz
Keyword(s):  
High Precision ◽  
Human Locomotion ◽  
Positioning System ◽  
Satellite Positioning

scholarly journals Inertial-Navigation-Aided Single-Satellite Highly Dynamic Positioning Algorithm

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4196 ◽  
Author(s):  
Lingling Zhang ◽  
Chengkai Tang ◽  
Yi Zhang ◽  
Houbing Song
Keyword(s):  
Target Location ◽  
Unscented Kalman Filter ◽  
Inertial Navigation ◽  
Satellite System ◽  
Global Navigation Satellite Systems ◽  
Positioning System ◽  
Position Change ◽  
Satellite Positioning ◽  
Initial Location ◽  
Positioning Algorithm

Nowadays, research on global navigation satellite systems (GNSS) has reached a certain level of maturity to provide high-precision positioning services in many applications. Nonetheless, there are challenging GNSS-denial environments where a temporarily deployed single-satellite positioning system is a promising choice. To further meet the emergency call of highly dynamic targets in such situations, an augmented single-satellite positioning algorithm is proposed in this paper. First, the initial location of the highly dynamic target is found by real-time displacement feedback from the inertial navigation system (INS). Then, considering the continuity of position change, and taking advantage of the high accuracy and robustness of the unscented Kalman filter (UKF), target location is through iteration and fusion. Comparing this proposed method with the least-squares Newton-iterative Doppler single-satellite positioning system and the pseudorange rate-assisted method under synthetic error conditions, the positioning error of our algorithm was 10 % less than the other two algorithms. This verified the validation of our algorithm in the single-satellite system with highly dynamic targets.

scholarly journals Management and legal regulations for the practice of precision and organic agriculture

2020 ◽  
Vol 203 ◽  
pp. 05025
Author(s):  
Vladimir Matveev ◽  
Varvara Dikareva ◽  
Alfia Larkina
Keyword(s):  
Organic Agriculture ◽  
Digital Technologies ◽  
Integrated Approach ◽  
Steering System ◽  
Positioning System ◽  
Legal Regulations ◽  
Agricultural Industry ◽  
Agricultural Enterprise ◽  
Satellite Positioning ◽  
Land Cultivation

This study presents an integrated approach to managing a modern agricultural enterprise. New digital technologies used in agriculture make it possible to optimize the processes of land cultivation, sowing, calculation and application of fertilizers, as well as harvesting. Satellite positioning system (GPS), automated steering system, remote sensing, and geo-mapping used in the complex can significantly increase the productivity and profitability of agricultural industry.

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