Research and implementation of forward automatic modeling method for radar target scattering center

被引:0
|
作者
He S. [1 ]
Zhu L. [1 ]
Liu J. [1 ]
Bian Z. [1 ]
Zhang Y. [1 ]
Zhu G. [1 ]
机构
[1] School of Electronic Information, Wuhan University, Wuhan
关键词
Electromagnetic scattering mechanism; Forward automatic modeling; Ray tracing; Scattering center; Target recognition;
D O I
10.12305/j.issn.1001-506X.2021.10.02
中图分类号
学科分类号
摘要
In order to further optimize the modeling method of scattering center parametric model, the forward automatic modeling method of scattering center model is carried out based on the geometric model of the target, after the complex structure of the target is partitioned and numbered according to the geometric surface. The automatic method mainly realizes the automatic calculation of model length, position and other parameters. This method can automatically determine the scattering source, scattering mechanism and scattering center model parameters, and improve the modeling efficiency. Firstly, the components of the geometric model are decomposed. Then, the scattering field of the target is simplified as the superposition of partial ray contributions according to the accuracy requirements by using ray tracing and diversity technology, and the automatic calculation of the scattering center model parameters is studied. Finally, a series of scattering center parametric models are calculated and compared with reliable data to verify the effectiveness of the automatic modeling method. © 2021, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码:2706 / 2717
页数:11
相关论文
共 30 条
  • [1] DIEMUNSCH J R, WISSINGER J., Moving and stationary target acquisition and recognition (MSTAR) model-based automatic target recognition: search technology for a robust ATR, Proc. of the Algorithms for Synthetic Aperture Radar Imagery V. International Society for Optics and Photonics, (1998)
  • [2] ROSS T D, BRADLEY J J, O'CONNOR M P., SAR ATR: so what's the problem? An MSTAR perspective, Proceedings of SPIE-the International Society for Optical Engineering, 3721, 30, pp. 606-610, (1999)
  • [3] HUMMEL R., Model-based ATR using synthetic aperture radar, Proc. of the Radar Conference, (2000)
  • [4] DOUGLAS J, BURKE M, ETTINGER G J., High-resolution SAR ATR performance analysis, Proc. of the International Society for Optical Engineering, (2004)
  • [5] HUNG C, CHIAN G, MOSE S, Et al., Model-based classification of radar images, IEEE Trans. on Information Theory, 46, 5, pp. 1842-1854, (2000)
  • [6] MARTORELLA M, GIUSTI E, DEMI L, Et al., Target recognition by means of polarimetric ISAR images, IEEE Trans. on Aerospace & Electronic Systems, 47, 1, pp. 225-239, (2011)
  • [7] KEY D L E R, LEE SW., Signature prediction for model-based automatic target recognition, Proc. of the International Society for Optical Engineering, (1996)
  • [8] GERRY M J, POTTER L C, GUPTAI J, Et al., A parametric model for synthetic aperture radar measurements, IEEE Trans. on Antennas and Propagation, 47, 7, pp. 1179-1188, (1999)
  • [9] MOSESR L., Feature extraction using attributed scattering center models on SAR imagery, Proceedings of SPIE-The International Society for Optical Engineering, 3721, pp. 104-115, (1999)
  • [10] KOETS M A, MOSES R L., Image domain feature extraction from synthetic aperture imagery, Proc. of the IEEE International Conference on Acoustics, (1999)