Song Yue, Pu Wei, Wu Junjie, et al. Analysis and utilization of bistatic synthetic aperture radar imageJ. Journal of Signal Processing, 2026, 42(8): 1199-1217. DOI: 10.12466/xhcl.2026.08.002.
Citation: Song Yue, Pu Wei, Wu Junjie, et al. Analysis and utilization of bistatic synthetic aperture radar imageJ. Journal of Signal Processing, 2026, 42(8): 1199-1217. DOI: 10.12466/xhcl.2026.08.002.

Analysis and Utilization of Bistatic Synthetic Aperture Radar Image

  • Bistatic synthetic aperture radar (SAR) is a SAR system with separated transmitter and receiver, offering flexible configuration and significant advantages in forward-looking imaging and covert reception, which makes it widely applicable in military reconnaissance, environmental monitoring, and other fields. However, its bistatic configuration results in geometric and scattering characteristics that notably differ from those of monostatic SAR images. Traditional SAR image interpretation methods, primarily developed for monostatic systems, are limited in their effectiveness when applied to bistatic SAR due to these differences. Currently, publicly available literature that specifically analyzes bistatic SAR image characteristics is lacking. Therefore, to better support the system design and technical applications of bistatic SAR, this paper thoroughly examines the differences in geometric characteristics between monostatic and bistatic SAR images by analyzing perspective contraction, occlusion relationships, and shadow projection under different configurations. Based on the bistatic SAR scattering model, the scattering characteristics of typical targets in bistatic SAR imaging are further derived. Additionally, this study explores target three-dimensional reconstruction and structural information recovery by integrating the geometric and scattering characteristics of bistatic SAR, to preliminarily investigate the potential of these image characteristics in bistatic SAR image interpretation. The work presented in this paper provides valuable insights into understanding bistatic SAR image characteristics and supports target recognition and image interpretation of bistatic SAR.
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