Research on Vehicle Classification Recognition Based on RCS

Jian Hua Wang; Lin Yan Jiang; Yun Cheng Wang

doi:10.4028/www.scientific.net/AMM.602-605.2352

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research on Vehicle Classification Recognition...

Research on Vehicle Classification Recognition Based on RCS

Abstract:

In order to enhance the effectiveness of the vehicle active anti-collision warning system, this article discussed a new classification method of radar target based on the radar cross section (RCS). This article first modeled nine types of representative vehicles. And then, using the Large Element PO (Physical Optics) method, this article calculated these vehicles’ RCS with the electromagnetic calculation software. Furthermore, this article classified these nine kinds of vehicles into four types according to vehicles’ RCS. The new classification method may be beneficial to the application of the vehicle active anti-collision warning system.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2352-2355

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2352

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Online since:

August 2014

Authors:

Jian Hua Wang*, Lin Yan Jiang, Yun Cheng Wang

Keywords:

Large Element Po, RCS, Vehicle Classification

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* - Corresponding Author

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