Journal of Systems Engineering and Electronics ›› 2009, Vol. 20 ›› Issue (1): 65-68.

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

Support vector regression model for complex target RCS predicting

Wang Gu, Chen Weishi & Miao Jungang   

  1. School of Electronic Engineering, Beijing Univ. of Aeronautics and Astronautics, Beijing 100083, P. R. China
  • Online:2009-02-18 Published:2010-01-03

Abstract:

The electromagnetic scattering computation has developed rapidly for many years; some computing problems for complex and coated targets cannot be solved by using the existing theory and computing models. A computing model based on data is established for making up the insufficiency of theoretic models. Based on the
“support vector regression method”, which is formulated on the principle of minimizing a structural risk, a data model to predicate the unknown radar cross section of some appointed targets is given. Comparison between the actual data and the results of this predicting model based on support vector regression method proved that the support vector regression method is workable and with a comparative precision.