Online predicting of line-of-sight angular rate based on LS-SVM method

Hu Qiang; Song Shenmin

Firstly, the least squares support vector machine(LS-SVM) algorithm was improved by a time-weighted and last-elimination mechanism. Secondly, the improved LS-SVM algorithm was used for line-of-sight angular rate online prediction when the target was unlocked by the seeker due to the line-of -sight of the seeker which was blocked by the clouds(clouds-crossing) or other interferences. On one hand, if the target was locked by the seeker the improved LS-SVM should be used for online training. On the other hand, if the target was unlocked the decision function(result of the online training) should be used for predicting the line-of-sight angular rate. Lastly, by adding up the miss-distances of the numerical simulations in which the seeker was unlocked in the terminal part of the trajectory, the results demostrated the effectiveness of LS-SVM method to the typical line-of-sight angular rate signal predicting and the application prospects in increasing the capacity of clouds-crossing and anti- interference of the small air to surface tactical missles.

1. China Academy of Aerospace Aerodynamics,Beijing 100074,China;

2. School of Astronautics,Harbin Institute of Technology,Harbin 150001,China

Received Date: 2013-03-09

Rev Recd Date: 2013-04-07

Publish Date: 2013-11-25

Key words:

Abstract: Firstly, the least squares support vector machine(LS-SVM) algorithm was improved by a time-weighted and last-elimination mechanism. Secondly, the improved LS-SVM algorithm was used for line-of-sight angular rate online prediction when the target was unlocked by the seeker due to the line-of -sight of the seeker which was blocked by the clouds(clouds-crossing) or other interferences. On one hand, if the target was locked by the seeker the improved LS-SVM should be used for online training. On the other hand, if the target was unlocked the decision function(result of the online training) should be used for predicting the line-of-sight angular rate. Lastly, by adding up the miss-distances of the numerical simulations in which the seeker was unlocked in the terminal part of the trajectory, the results demostrated the effectiveness of LS-SVM method to the typical line-of-sight angular rate signal predicting and the application prospects in increasing the capacity of clouds-crossing and anti- interference of the small air to surface tactical missles.

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Reference (15)

[1]	Wang Jiayin, Shi Jiaming, Wang Jiachun. Comparison of extiction characteristics of water fog and the oil fog[J].Infrared and Laser Engineering, 2006, 35(S1): 178-182. (in Chinese)王甲寅, 时家明, 汪家春. 水雾与雾状油遮蔽性能的对比研究[J]. 红外与激光工程, 2006, 35(S1): 178-182.
[2]
[3]	Hu Zhaohui, Luo Jixun, Wang Yi, et al. Laser guided bomb combat efficiency in smokejamming[J]. Infrared and Laser Engineering, 2008, 37(S3):322-326. (in Chinese)胡朝晖, 罗继勋, 王邑, 等. 烟幕干扰下激光制导炸弹作战效能分析[J]. 红外与激光工程, 2008, 37(S3): 322-326.
[4]
[5]
[6]	Vapnik V N. The Nature of Statistical Learning Theory[M]. NY: Springer-Verlag, 1995.
[7]
[8]	Smola A J, Scholkope B. A tutorial on support vector regression[J]. Statistics and Computing, 2004, 14(3): 199-222.
[9]
[10]	Cherkassky V, Mulier F. Learning from Data: Concepts, Theory and Methods[M]. NY: John Viley Sons, 1997.
[11]
[12]	Vapnik V N. Statistical Learning Theory[M]. New York: JWiley, 1998.
[13]	Vapnik V, Levin E, Le Cun Y. Measuring the VC-dimension of a learning machine[J]. Neural Computation, 1994, 6(5): 851-876.
[14]
[15]	Yu Hao, Han Dong, Ma Li, et al. The accuracy evaluation method of weapon system based on median distribution density[J]. Introducing Journal of China Ordnance, 2010, 31(1): 54-57. (in Chinese)郁浩, 韩东, 马力, 等. 基于中位数分布密度的武器系统精度评定方法[J]. 兵工学报, 2010, 31(1): 54-57.

Online predicting of line-of-sight angular rate based on LS-SVM method

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