Please wait a minute...
Chin. Phys. B, 2015, Vol. 24(6): 064202    DOI: 10.1088/1674-1056/24/6/064202
ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS Prev   Next  

Improved autonomous star identification algorithm

Luo Li-Yan (罗丽燕), Xu Lu-Ping (许录平), Zhang Hua (张华), Sun Jing-Rong (孙景荣)
School of Aerospace Science and Technology, Xidian University, Xi'an 710126, China
Abstract  The log–polar transform (LPT) is introduced into the star identification because of its rotation invariance. An improved autonomous star identification algorithm is proposed in this paper to avoid the circular shift of the feature vector and to reduce the time consumed in the star identification algorithm using LPT. In the proposed algorithm, the star pattern of the same navigation star remains unchanged when the stellar image is rotated, which makes it able to reduce the star identification time. The logarithmic values of the plane distances between the navigation and its neighbor stars are adopted to structure the feature vector of the navigation star, which enhances the robustness of star identification. In addition, some efforts are made to make it able to find the identification result with fewer comparisons, instead of searching the whole feature database. The simulation results demonstrate that the proposed algorithm can effectively accelerate the star identification. Moreover, the recognition rate and robustness by the proposed algorithm are better than those by the LPT algorithm and the modified grid algorithm.
Keywords:  log-polar transform      star identification      star pattern      star sensor  
Received:  12 November 2014      Revised:  18 December 2014      Accepted manuscript online: 
PACS:  42.30.Sy (Pattern recognition)  
  42.30.-d (Imaging and optical processing)  
  95.85.-e (Astronomical observations (additional primary heading(s) must be chosen with these entries to represent the astronomical objects and/or properties studied))  
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61172138 and 61401340), the Open Research Fund of the Academy of Satellite Application, China (Grant No. 2014_CXJJ-DH_12), the Fundamental Research Funds for the Central Universities, China (Grant Nos. JB141303 and 201413B), the Natural Science Basic Research Plan in Shaanxi Province, China (Grant No. 2013JQ8040), the Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20130203120004), and the Xi'an Science and Technology Plan, China (Grant. No CXY1350(4)).
Corresponding Authors:  Luo Li-Yan     E-mail:  xiaoyan12027@163.com
About author:  42.30.Sy; 42.30.-d; 95.85.-e

Cite this article: 

Luo Li-Yan (罗丽燕), Xu Lu-Ping (许录平), Zhang Hua (张华), Sun Jing-Rong (孙景荣) Improved autonomous star identification algorithm 2015 Chin. Phys. B 24 064202

[1] Meng Y H and Chen Q F 2014 Acta Phys. Sin. 63 248402 (in Chinese)
[2] Shen B L, Chang J, Wang X, Niu Y J and Feng S L 2014 Acta Phys. Sin. 63 144201 (in Chinese)
[3] Quan W, Xu L, Zhang H J and Fang J C 2013 Chinese Journal of Aeronautics 26 449 (in Chinese)
[4] Padgett C, Delgado K K and Udomkesmalee S 1997 Journal of Guidance, Control, and Dynamics 20 259
[5] Thomas H C, Charles E L, Ronald L R and Clifford S 2009 Introduction to Algorithms, 3rd edn. (London: MIT) pp. 589-601
[6] Gu Y and Li Q 2014 Chin. Phys. B 23 044213
[7] Amani T, Jordi M, Ali K and Kaher T 2014 Chin. Phys. B 23 046101
[8] Zhang W, Qi S X, Zhang R, Yang L L, Sun J F, Song L Q and Tian J W 2013 Proceedings of International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, June 25, 2013, Beijing, China, p. 89075H-1
[9] Du L and Zhao Y 2011 Proceedings of International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011, Beijing, China, p. 819305-1
[10] Lamy Au Rousseau G, Bostel J and Mazari B 2005 IEEE Aerospace and Electronic Systems Magazine 20 27
[11] Liu C S, Xiao H, Xiao S and Liu G B 2010 IEEE 2010 Symposium on Photonics and Optoelectronic (SOPO), June 19-21, 2010, Chengdu, China, p. 1
[12] Mortari D, Samaan M A, Bruccoleri C and Junkins J L 2004 The Journal of Navigation 51 171
[13] Mortari D, Junkins J L and Samman M A 2001 Advances in the Astronautical Sciences, January 31-February 4, 2001, Breckenridge, Colorado, USA, p. 49
[14] Accardo D and Rufino G 2002 IEEE Transactions on Aerospace and Electronic Systems 38 813
[15] van Bezooijen R W H 1994 Proceedings of SPIE International Soceity of Optical Engineering, April 4, 1994, Orlando, FL, USA, p. 156
[16] Pei R, Hou Y S, Hao Y and Xie Y E 2013 Proceedings of 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), December 20-22, 2013, Shenyang, China, p. 1502
[17] Padgett C and Kreutz-Delgado K 1997 IEEE Transactions on Aerospace and Electronic Systems 33 202
[18] Silani E and Lovera M 2006 IEEE Transactions on Aerospace and Electronic Systems 42 1275
[19] Lee H and Bang H 2007 IEEE Transactions on Aerospace and Electronic Systems 43 112
[20] Na M, Zheng D N and Jia P 2009 IEEE Transactions on Aerospace and Electronic Systems 45 516
[21] Pham M D, Low K S, Chen S S and Xing Y T 2012 Proceedings of 2012 IEEE Symposium on Industrial Electronics and Applications (ISIEA), September 23-26, 2012, Bandung, Indonesia, p. 236
[22] Pham M D, Low K S and Chen S S 2013 IEEE Transactions on Aerospace and Electronic Systems 49 1467
[23] Lee H, Oh C S and Bang H 2003 Proceedings of Recent Advances in Space Technologies, November 20-22, 2003, Istanbul, Turkey, p. 385
[24] Yang J and Wang L 2012 Proceedings of 10th IEEE International Conference on Industrial Informatics (INDIN), July 25-27, 2012, Beijing, China, p. 118
[25] Hong J and Dickerson J A 2000 Journal of Guidance, Control, and Dynamics 23 728
[26] Kun Tae K and Hyochoong B 1997 Proceedings of SPIE International Society of Optical Engineering, April 21, 1997, Orlando, FL, USA, p. 471
[28] McClintock S, Lunney T and Hashim A 1998 Proceedings of the 14th International Conference on Soft Computing, September 30-Octorber 05, 1996, IIZUKA, Japan, p. 3
[29] Kolomnkin M, Pollak S, Shimshoni I and Lindenbaum M 2008 IEEE Transactions on Aerospace and Electronic Systems 44 441
[30] Seisie-Amoasi E, Williams Brian G and Schoen Marco P 2005 Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Noverber 5-11, 2005, Orlando, FL, USA, p. 913
[31] Quan W, Xu L and Fang J C 2013 IEEE Transactions on Aerospace and Electronic Systems 49 2101
[32] Youngwoo Y 2013 IEEE Transactions on Aerospace and Electronic Systems 49 2065
[33] Hyosang Y, Sung Wook P, Yeerang L, Byung-Hoon L and Hungu L 2013 IEEE Transactions on Aerospace and Electronic Systems 49 1108
[34] Zhao L, Hou Y S, Hao Y and Wu X W 2014 Proceedings of the 33rd Chinese Control Conference, July 28-30, 2014, Nanjing, China, p. 703
[35] Tao Y, Ioerger T R and Tang Y Y 2001 Proceedings of 2001 International Conference on Image Processing, October 7-10, 2001, Thessaloniki, Greece, p. 1090
[36] Kageyu S, Ohnishi N and Sugie N 1991 Proceedings of IEEE International Joint Conference on Neural Networks, November 18-21, 1991, Singapore, p. 54
[37] Wei X G, Zhang G J and Jiang J 2009 AIAA Journal of Aerospace Computing, Information, and Communication 6 483
[1] Handwritten digit recognition based on ghost imaging with deep learning
Xing He(何行), Sheng-Mei Zhao(赵生妹), and Le Wang(王乐). Chin. Phys. B, 2021, 30(5): 054201.
[2] Individual identification using multi-metric of DTI in Alzheimer's disease and mild cognitive impairment
Ying-Teng Zhang(张应腾), Shen-Quan Liu(刘深泉). Chin. Phys. B, 2018, 27(8): 088702.
[3] New pattern recognition system in the e-nose for Chinese spirit identification
Hui Zeng(曾慧), Qiang Li(李强), Yu Gu(谷宇). Chin. Phys. B, 2016, 25(2): 024201.
[4] Biometric feature extraction using local fractal auto-correlation
Chen Xi (陈熙), Zhang Jia-Shu (张家树). Chin. Phys. B, 2014, 23(9): 096401.
[5] Application of the new pattern recognition system in the new e-nose to detecting Chinese spirits
Gu Yu (谷宇), Li Qiang (李强). Chin. Phys. B, 2014, 23(4): 044213.
[6] Sampling strong tracking nonlinear unscented Kalman filter and its application in eye tracking
Zhang Zu-Tao(张祖涛) and Zhang Jia-Shu(张家树). Chin. Phys. B, 2010, 19(10): 104601.
[7] Cell image recognition with radial harmonic Fourier moments
Ren Hai-Ping (任海萍), Ping Zi-Liang (平子良), Bo Wu-Ri-Gen (博午日亘), Sheng Yun-Long (盛云龙), Chen Sheng-Zu (陈盛祖), Wu Wen-Kai (吴文凯). Chin. Phys. B, 2003, 12(6): 610-614.
[8] Diffraction deep neural network based orbital angular momentum mode recognition scheme in oceanic turbulence
Hai-Chao Zhan(詹海潮), Bing Chen(陈兵), Yi-Xiang Peng(彭怡翔), Le Wang(王乐), Wen-Nai Wang(王文鼐), and Sheng-Mei Zhao(赵生妹). Chin. Phys. B, 2023, 32(4): 044208.
No Suggested Reading articles found!