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| Inversion and Interpretation of Target Electromagnetic Scattering Characteristics Based on Measurement and Computation |
| ZHANG Xiaokun1， YAN Tianxu2， PENG Guopeng1， WANG Long3， ZHANG Yixuan1，4， ZHAO Xunwang1，4 |
| 1. Shaanxi Key Laboratory of Large Scale Electromagnetic Computing， Xidian University， Xi'an 710071， Shaanxi， China； 2. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China； 3. Zhijian Laboratory， Rocket Force University of Engineering， Xi'an 710025， Shaanxi， China； 4. National Key Laboratory of Radar Detection and
Sensing （Xi'an Branch）， Xi'an 710071， Shaanxi， China |
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Abstract This paper systematically investigates a measurement-based computational approach for the inversion and interpretation of target electromagnetic scattering characteristics, focusing on the issues of stringent site requirements, high costs, and the limited capacity to reveal the physical mechanisms of target scattering associated with conventional Radar Cross Section (RCS) measurement techniques. First, high-precision electromagnetic near-field data of the target were acquired within a limited distance. Subsequently, the target's far-field scattering characteristics were accurately reconstructed using near-field-to-far-field transformation techniques. Then, the transformed data were processed by a parametric scattering-center extraction algorithm to invert the macroscopic scattering response into a set of attributed scattering-center parameters with precise physical meanings. By comprehensively analyzing the attributed scattering centers as well as the Inverse Synthetic Aperture Radar (ISAR) image, the link between“data measurement” and “physical mechanism interpretation ” was established, providing practical support for potential applications such as target shape optimization, recognition algorithm development, electromagnetic characteristic modeling, and professional wargame simulation.
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Received: 16 October 2025
Published: 13 January 2026
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| [1] |
CONG Xiaoyu, YANG Jiayi, SHAN Shichen, ZUO Qian. Research on Target Recognition Method Based on Multi-Source Information Fusion[J]. Air & Space Defense, 2026, 9(1): 12-19. |
| [2] |
HE Zhiyuan, WANG Rui, WANG Gu, CUI Shan, GUO Lixin. Composite Electromagnetic Scattering of Complex Target and Background Based on High Frequency Mixing Method[J]. Air & Space Defense, 2020, 3(3): 78-82. |
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2025, Vol. 8 
