A Star Identification Method Based on Mixed Characteristics and LVQ Neural Network

被引：0
|
作者：
Sun Hongchi [1 ]
Mu Rongjun [1 ]
Du Huajun [2 ,3 ]
机构：
[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China
[2] Beijing Aerosp Automat Control Inst, Beijing 100854, Peoples R China
[3] Natl Key Lab Sci & Technol Aerosp Intelligence Co, Beijing 100854, Peoples R China
来源：
PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC) | 2018年
关键词：
LVQ neural network; Star Identification; Star sensor;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Face detection algorithm based on LVQ neural network model
    Wang Yan
    Qi Meng
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2021, 36 (07) : 1027 - 1034
  • [22] Study on Prediction of Traffic Congestion Based on LVQ Neural Network
    Shen, Xiaojun
    Chen, Jun
    2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL III, 2009, : 318 - 321
  • [23] Water quality evaluation based on modified LVQ neural network
    1721, CAFET INNOVA Technical Society, 1-2-18/103, Mohini Mansion, Gagan Mahal Road,, Domalguda, Hyderabad, 500029, India (07):
  • [24] Digital Image Edge Detection Based on LVQ Neural Network
    Li, Xiaofeng
    Zhang, Yinhui
    PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2016, : 1251 - 1255
  • [25] The application of Multifractal Theory and LVQ Neural Network in Maize Disease Intelligent Identification
    Xia, Zhengwei
    Wang, Fujuan
    CONSTRUCTION AND URBAN PLANNING, PTS 1-4, 2013, 671-674 : 3165 - 3169
  • [26] Nonwoven uniformity identification using wavelet texture analysis and LVQ neural network
    Liu, Jianli
    Zuo, Baoqi
    Zeng, Xianyi
    Vroman, Philippe
    Rabenasolo, Besoa
    EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (03) : 2241 - 2246
  • [27] A New Method of Mixed Gas Identification Based on a Convolutional Neural Network for Time Series Classification
    Han, Lu
    Yu, Chongchong
    Xiao, Kaitai
    Zhao, Xia
    SENSORS, 2019, 19 (09)
  • [28] Efficient Star Identification Using a Neural Network
    Rijlaarsdam, David
    Yous, Hamza
    Byrne, Jonathan
    Oddenino, Davide
    Furano, Gianluca
    Moloney, David
    SENSORS, 2020, 20 (13) : 1 - 12
  • [29] Detection of Inrush Current Based On Wavelet Transform and LVQ Neural Network
    Mokryani, G.
    Haghifam, M-R
    Latafat, H.
    Aliparast, P.
    Abdollahy, A.
    2010 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION: SMART SOLUTIONS FOR A CHANGING WORLD, 2010,
  • [30] Mushroom Identification Method Based on BP Neural Network
    Pang, Fengli
    Fang, Jiandong
    Zhao, Yvdong
    TENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2018), 2019, 11069
12345