Study on Threat Assessment Based on Rough Ret and Support Vector Machines for Regression in BVR Air Combat

Ling Yan Wu; Yong Qin Sun; Jin Yao Ji

doi:10.4028/www.scientific.net/AMM.419.228

Paper Titles

Finite Element Analysis for Wave Spring of Multi-Disc Wet Clutch Based on ANSYS
p.203

The Structure Design and Exhaust Mechanism on Hybrid Supercharger
p.209

Research of Mechanism and Experiment of 4LZ-3.0 Self-Propelled Pepper Harvester
p.217

Dynamic Analysis of Multi-Supported Nonlinear Vibration Isolation System Mounted on Flexible Foundation
p.223

Study on Threat Assessment Based on Rough Ret and Support Vector Machines for Regression in BVR Air Combat
p.228

The Study on Five Order Hypernormal Form of Icing Suspension Cable Model
p.235

Equal Strength Continuous Sucker Rod's Optimization Design
p.240

Dynamical Behaviors of a Four-Wheel-Steering System under the Sense of Mean Value
p.244

Kinematics Analysis of Multi-Functional 4-DOF Mechanical Arm
p.250

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 419Study on Threat Assessment Based on Rough Ret and...

Study on Threat Assessment Based on Rough Ret and Support Vector Machines for Regression in BVR Air Combat

Abstract:

Aiming at the shortage of existing TA methods in BVR air combat, a new TA method based on RS and SVM for regression is advanced, and advantage functions models are structured. Firstly, Missile scope is introduced as a factor of distance, so advantage function of distance is improved. Moreover, advantage functions such as azimuth, enter angle, energy, efficiency are optimized, and goal campaign value is considered as a factor of TA. Secondly, redundancy information of each advantage function is eliminated by reduction of knowledge based on RS, and the final taxis of TA are realized by SVM for regression. Finally, simulation results show the method is rational and effective.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 419)

Pages:

228-234

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.419.228

Citation:

Cite this paper

Online since:

October 2013

Authors:

Ling Yan Wu, Yong Qin Sun, Jin Yao Ji

Keywords:

Advantage Functions, Beyond-Visual-Range (BVR) Air Combat, Reduction of Knowledge, Rough Set (RS), Support Vector Machine (SVM), Threat Assessment (TA)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] HUANG Jie, LI Bi-cheng, ZHAO Yong-jun. Target Threat Assessment Based on Choquet Fuzzy Integral[J]. Journal of Information Engineering University. 2012, 13(1): 18-21.

Google Scholar

[2] GU Xiang-dong, TONG Zhong-xiang, GUO Hui, etal. Target Threat Assessment for Air Combat Based on TOPSIS Combining by IAHP and Entropy Weight[J]. Fire Control&Command Control. 2012, 37(1): 69-72.

Google Scholar

[3] CHEN Jun, YU Guan-hua, GAO Xiao-guang. Cooperative Threat Assessment of Multi-aircrafts Based on Synthetic Fuzzy Cognitive Map[J]. J. Shanghai Jiaotong Univ. (Sci. ), 2012, 17(2): 228-232.

DOI: 10.1007/s12204-012-1257-1

Google Scholar

[4] Zhu Baoliu, Zhu Rongchang, Xiong Xiaofei. Effectiveness evaluation of combat aircraft[M]. Beijing: Aeronautics Industry Press. 2006: 63-68.

Google Scholar

[5] XIAO Bing-song, FANG Yang-wang, HU Shi-guo, etal. New threat assessment method in beyond-the-horizon range air combat[J]. Systems Engineering and Electronies. 2009, 31(9): 2163-2166.

Google Scholar

[6] MA Wei-jiang, YAO Pei-yang, ZHOU Xiang-xiang, etal. Improved method of situation assessment in BVR air combat[J]. Computer Engineering and Design. 2011, 32(6): 2096-2099, 2107.

Google Scholar

[7] WANG Xiao-fan, WANG Bao-shu, LUO Lei. Techniques for Thread Assessment Based on Rough Set Theory and Plan Recognition[J]. Computer Science. 2011, 38(10A): 140-142.

Google Scholar

[8] Guo Hui, Xu Haojun, Liu Ling. Target threat assessment of air combat based on support vector machines for regression[J]. Journal of Beijing University of Aeronautics and Astronautics. 2010, 36(1): 123-126.

Google Scholar