Title :
ASF seasonal correction of Loran-C based on artificial neural network
Author :
Meng Bin ; Xi Xiao-li ; Li Jie
Author_Institution :
Xi´an Univ. of Technol., Xi´an, China
Abstract :
In this paper, neural networks are used to decrease the Additional Secondary Phase Factors (ASF) error of Loran-C to improve the navigation accuracy. Through the training, the relationship between ASF corrections and seasons can be obtained, which is useful to compensate for the measured time-difference (TD) of Loran-C wave. The result proves that this method is effective and provides a new way for ASF correction.
Keywords :
electrical engineering computing; error correction; neural nets; radionavigation; ASF error correction; Loran-C ASF seasonal correction; Loran-C wave time-difference measurement; additional secondary phase factors error; artificial neural network; navigation accuracy improvement; Artificial neural networks; Error correction; Feedforward neural networks; Feedforward systems; Iterative algorithms; Monitoring; Neural networks; Neurofeedback; Radio navigation; Training data;
Conference_Titel :
Aerospace & Electronics Conference (NAECON), Proceedings of the IEEE 2009 National
Conference_Location :
Dayton, OH
Print_ISBN :
978-1-4244-4494-6
Electronic_ISBN :
978-1-4244-4495-3
DOI :
10.1109/NAECON.2009.5426607
