Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (3): 678-689.doi: 10.12305/j.issn.1001-506X.2023.03.08

• Sensors and Signal Processing • Previous Articles     Next Articles

GTD scattering parameter extraction and RCS reconstruction in frequency hopping mode based on IRLS

Yingjun LI, Yongxiang LIU, Biao TIAN, Wenpeng ZHANG   

  1. College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
  • Received:2021-08-03 Online:2023-02-25 Published:2023-03-09
  • Contact: Yongxiang LIU

Abstract:

Modern spectral estimation methods can extract the scattering parameters based on the geometric theory of diffraction (GTD) model, but they cannot deal with non-uniform and incomplete radar cross section (RCS) data. Furthermore, obtaining complete RCS data in anechoic chambers requires large space-time cost. To solve these problems, an iteratively reweighed least squares (IRLS)-based method for GTD scattering parameter extraction and RCS reconstruction in frequency hopping mode is proposed. Combining the sparse reconstruction theory with the GTD scattering model, the proposed method can retrieve scattering parameters and realize RCS reconstruction under the condition of non-uniform and incomplete RCS data. Simulation data and electromagnetic calculation data are used to verify the effectiveness of the proposed method. And the experimental results indicate that the proposed method is significant to reduce the cost of stepped-frequency RCS measurement in anechoic chambers and expand RCS data in database.

Key words: radar cross section (RCS) reconstruction, scattering parameter extraction, geometric theory of diffraction (GTD) model, frequency hopping mode, iteratively reweighed least squares (IRLS) algorithm

CLC Number: 

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