@inproceedings{e2a8d162592449288ee5a9497dd1be60,
title = "A Star Identification Method Based on Mixed Characteristics and LVQ Neural Network",
abstract = "Star identification method is the basis of celestial navigation. In order to solve the problem that traditional methods can't adapt to high noise condition, a star identification method bases on LVQ neural network is used for star recognition. Compared with several different characteristics vector, the mixed characteristic vector is selected to train the network. The simulation results show that the recognition rate of this star identification method is 100\%, and the recognition rate is better than traditional star identification method in high noise condition.",
keywords = "LVQ neural network, Star Identification, Star sensor",
author = "Sun Hongchi and Mu Rongjun and Du Huajun",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th International Conference on Modelling, Identification and Control, ICMIC 2018 ; Conference date: 02-07-2018 Through 04-07-2018",
year = "2018",
month = nov,
day = "9",
doi = "10.1109/ICMIC.2018.8529903",
language = "英语",
series = "10th International Conference on Modelling, Identification and Control, ICMIC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "10th International Conference on Modelling, Identification and Control, ICMIC 2018",
address = "美国",
}