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CHEN Hongmeng, HUA Yuming, YU Hanchen, et al. Boundary analysis and fast imaging arc selection experimental demonstration for bi-isar imaging with bistatic angle derivative constraint[J]. Journal of Radars, 2025, 14(5): 1170–1195. doi: 10.12000/JR25093
Citation: CHEN Hongmeng, HUA Yuming, YU Hanchen, et al. Boundary analysis and fast imaging arc selection experimental demonstration for bi-isar imaging with bistatic angle derivative constraint[J]. Journal of Radars, 2025, 14(5): 1170–1195. doi: 10.12000/JR25093
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Boundary Analysis and Fast Imaging Arc Selection Experimental Demonstration for Bi-ISAR Imaging with Bistatic Angle Derivative Constraint

DOI: 10.12000/JR25093 CSTR: 32380.14.JR25093
  • 1.

    Beijing Institute of Radio Measurement, Beijing 100854, China

  • 2.

    Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China

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    Abstract
  • Bistatic Inverse Synthetic Aperture Radar (Bi-ISAR) imaging has a broad application in air and space target detection and recognition. However, due to the complexity and variability of the bistatic configuration, the Bi-ISAR imaging performance under different observation configurations varies greatly. There may even be imaging arcs under some observation configurations in which the two-dimensional imaging results cannot be acquired. Therefore, it is quite essential to find out the useful Bi-ISAR imaging arcs quickly and accurately. Aiming at the need of fast and optimal selection of imaging boundary and imaging arcs for aerial moving targets, a boundary analysis and fast imaging arc selection method for Bi-ISAR imaging with bistatic angle derivative constraint is proposed. Firstly, the Bi-ISAR imaging model of moving target is constructed, and the expression of bistatic slant range history related to the bistatic angle derivative is derived. Then, the boundary of the Bi-ISAR imaging performance is theoretically analyzed from the dimensions of Range Cell Migration (RCM) and Azimuth-Quadratic Phase (AQP), and the corresponding constraints are figured out. Finally, based on the minimum fusion criterion, the Bi-ISAR imaging boundary constrained by the bistatic angle derivative is presented. Moreover, it is proved that the boundary constraint of the bistatic angle derivative is equivalent to the selection of the Bi-ISAR imaging arc. The processing results of both simulation data and measured data verify the effectiveness of the proposed method.

     

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