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Multi-aspect components extraction and fusion based on attributed scattering center model

XU Dan1,2, XING Mengdao1,2, FU Jixiang1,2, SUN Guangcai1,2   

  1. 1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China; 2. Collaborative Innovation Center of Information Sensing and Understand, Xidian University, Xi’an 710071, China
  • Online:2017-05-25 Published:2010-01-03

Abstract:

The traditional point scattering model is no longer valid and the attributed scattering center is put into use when it is necessary to express not only target’s position, but also the length and the angle. In order to extract all the view of the target’s components and result for the parameters estimation of the attributed scattering center, a new multi-aspect components extraction and fusion method based on attributed scattering center is proposed. First, the full aspect data is divided into several overlapping sub-aspect to estimate the parameters of every sub-apertures. Then the sub-aperture’s parameters are projected into the same coordinate system. Finally, all parameters are fused into a parameter set. The proposed method can get a parameter set, which can be used for radar echo inversion, improving the visualization of the radar image, target recognition and classification. Simulation results validate the effectiveness of the novel approach.

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