Model of a neural network inertial satellite navigation system capable of estimating the earth’s gravitational field gradient

2016 ◽  
Vol 61 (9) ◽  
pp. 1299-1302
Author(s):  
A. S. Devyatisil’nyi
Keyword(s):  
Neural Network ◽  
Gravitational Field ◽  
Field Gradient ◽  
Navigation System ◽  
Satellite Navigation ◽  
Satellite Navigation System ◽  
Earth’S Gravitational Field

Using Artificial Neural Networks to Compensate for the Error in an Integrated Navigation System

2020 ◽  
pp. 4-26
Author(s):  
N. Al Bitar ◽  
A.I. Gavrilov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Navigation System ◽  
Satellite Navigation ◽  
Satellite System ◽  
Integrated Navigation ◽  
Satellite Navigation System ◽  
Integrated Navigation System ◽  
Artificial Neural

The paper presents a new method for improving the accuracy of an integrated navigation system in terms of coordinate and velocity when there is no signal received from the global navigation satellite system. We used artificial neural networks to simulate the error occurring in an integrated navigation system in the absence of the satellite navigation system signal. We propose a method for selecting the inputs for the artificial neural networks based on the mutual information (MI) criterion and lag-space estimation. The artificial neural network employed is a non-linear autoregressive neural network with external inputs. We estimated the efficiency of using our method to solve the problem of compensating for the error in an integrated navigation system in the absence of the satellite navigation system signal

scholarly journals Research on BeiDou Satellite Positioning Algorithm Based on GPRS Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Li Yang ◽  
Yunhan Zhang ◽  
Haote Ruan
Keyword(s):  
Real Time ◽  
Navigation System ◽  
Satellite Navigation ◽  
Positioning Systems ◽  
Time Dynamic ◽  
Satellite Navigation System ◽  
Satellite Positioning ◽  
Error Elimination ◽  
Wireless Module ◽  
Positioning Algorithm

The BeiDou Satellite Navigation System of China can provide users with high precision, as well as all-weather and real-time positioning and navigation information. It can be widely used in many applications. However, new challenges appear with the expansion of the 5G communication system. To eradicate or weaken the influence of various errors in BeiDou positioning, a BeiDou satellite positioning algorithm based on GPRS technology is proposed. According to the principles of the BeiDou Satellite navigation system, the navigation and positioning data are obtained and useful information are extracted and sent to the communication network through the wireless module. The error is corrected by establishing a real-time kinematic (RTK) mathematical model, and the pseudorange is calculated by carrier phase to further eliminate the relativistic and multipath errors. Based on the results of error elimination, the BeiDou satellite positioning algorithm is improved and the positioning error is corrected. The experimental results show that the positioning accuracy and efficiency of the algorithm can meet the actual needs of real-time dynamic positioning systems.

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