EconPapers    
Economics at your fingertips  
 

A novel dynamic RCS simulation and analysis method considering attitude perturbation

Jia Liu, Ning Fang, Bao Fa Wang and Yong Jun Xie

Journal of Electromagnetic Waves and Applications, 2015, vol. 29, issue 14, 1841-1858

Abstract: Radar cross-section (RCS) error between measurement and simulation has been an important issue in target electromagnetic scattering research. Besides the intrinsic limitation of numerical modelling techniques, other factors like environmental noise also contributes to the error. For dynamic targets, the attitude perturbation from complex and unpredictable interferences is the major source of RCS error. This paper proposes a dynamic RCS simulation and analysis method considering attitude perturbation. Random variables with uniform distribution are chosen to model the attitude perturbation. Frequency and perturbation amplitude responses of RCS differences are analyzed. The degree of RCS data consistency is quantitatively presented explicitly using the cumulated probability within error tolerance. The credibility zone provides the reasonable region of dynamic RCS distribution under attitude perturbation. The corresponding expectation value is suitable for the quantitative evaluation of RCS data. Entropy is introduced into the RCS difference uncertainty evaluation for the first time. Experimental results validate the feasibility of the methods and prove that the consideration of attitude perturbation in dynamic RCS simulation is favorable in data credibility enhancement.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/09205071.2015.1051189 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tewaxx:v:29:y:2015:i:14:p:1841-1858

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tewa20

DOI: 10.1080/09205071.2015.1051189

Access Statistics for this article

Journal of Electromagnetic Waves and Applications is currently edited by Mohamad Abou El-Nasr and Pankaj Kumar Choudhury

More articles in Journal of Electromagnetic Waves and Applications from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tewaxx:v:29:y:2015:i:14:p:1841-1858