A nonlinear correction method for orbit determination.

AIAA Journal ◽  
1967 ◽  
Vol 5 (6) ◽  
pp. 1183-1185 ◽  
Author(s):  
WILLIAM E. HUNT ◽  
ALI HASAN NAYFEH
2014 ◽  
Vol 651-653 ◽  
pp. 400-404 ◽  
Author(s):  
Zhuo Jing Yang ◽  
Jian Wei Zhang ◽  
Wen Jie Hao ◽  
Jin Ping Yang

Because resistance of two-dimensional position sensitive detector's (PSD) photo surface is not absolute uniformity that its output is nonlinear. It is this feature enables the PSD difficult to measure small displacement. In order to solve this problem, BP neural network is proposed to solve the problem of PSD nonlinear correction after the study of traditional nonlinear correction method; BP neural network would have a strong ability of nonlinear mapping after training, and it can approach arbitrarily contact function by arbitrary precision, and MATLAB neural networking boxes can simulate BP neural network easily. Simulation and verification indicate that the method has a remarkable effect in solving nonlinear problems, and it can meet system requirements.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3900 ◽  
Author(s):  
Qianxin Wang ◽  
Chao Hu ◽  
Ya Mao

For ultra-rapid orbits provided by the Global Navigation Satellite System (GNSS), the key parameters, accuracy and timeliness, must be taken into consideration in real-time and near real-time applications. However, insufficient observations in later epochs appear to generate low accuracy in observed orbits, for which a correlation between the Dilution of Precision (DOP) of the orbit parameters and their accuracy is found. To correct the observed GNSS ultra-rapid orbit, a correction method based on the DOP values is proposed by building the function models between DOP values and the orbit accuracy. With 10-day orbit determination experiments, the results show that the observed ultra-rapid-orbit errors, generated by insufficient observations, can be corrected by 12–22% for the last three hours of the observed orbits. Moreover, considering the timeliness constraints in ultra-rapid-orbit determination, a DOP amplification factor is defined to weight the contribution of each tracking station and optimize the station distribution in the orbit determination procedure. Finally, six schemes are designed to verify the method and strategy in determining the ultra-rapid orbit based on one-month observations. The orbit accuracy is found to decrease by 1.27–6.34 cm with increasing amplification factor from 5–20%. Thus, the observed ultra-orbit correction method proposed is ideal when considering accuracy and timeliness in ultra-rapid orbit determination.


2019 ◽  
Vol 48 (8) ◽  
pp. 812004
Author(s):  
林珊玲 LIN Shan-ling ◽  
李甜甜 LI Tian-tian ◽  
曾素云 ZENG Su-yun ◽  
林志贤 LIN Zhi-xian ◽  
郭太良 GUO Tai-liang ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhe Liu ◽  
Zidan Wu ◽  
Zhongjie Zhang ◽  
Wenfu Wu ◽  
Hexin Li

An online resistance grain moisture detector is designed, based on the model of the relationship between measurement frequency and grain moisture and the nonlinear correction method of temperature. The detector consists of lower computer, the core function of which is the sensing of grain resistance values which is based on V/F conversion, and upper computer, the core function of which is the conversion of moisture and frequency and the nonlinear correction of temperature. The performance of the online moisture detector is tested in a self-designed experimental system; the test and analysis results indicate that the precision and stability of the detector can reach the level of the similar products, which can be still improved.


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