1. Antirange-Deception Jamming From Multijammer for Multistatic SAR
- Author
-
Jianyu Yang, Wenjing Wang, Jifang Pei, Qingying Yi, Junjie Wu, and Zhichao Sun
- Subjects
business.industry ,Computer science ,fungi ,Configuration information ,Jamming ,Minimum variance beamforming ,Residual ,body regions ,Euclidean distance ,General Earth and Planetary Sciences ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,skin and connective tissue diseases ,business ,Visual saliency - Abstract
Multistatic SAR is able to observe targets from different angles simultaneously, which enhances the information acquiring capability. However, multistatic SAR can still be affected by electromagnetic jamming, resulting in the misinterpretation of multistatic SAR images. This article proposes a method to locate multiple range-deception jammers and suppress jamming signals. First, the echo model of multistatic SAR under a multijammer environment is established. Second, the detection of interested targets in multistatic SAR images can be achieved through visual saliency detection methods based on spectral residual. Third, location distribution features of false targets in multistatic SAR images are analyzed, and the Euclidean distance criteria are used to effectively distinguish false targets. Accurate localization is then achieved by combing multistatic SAR configuration information. Finally, using a linear constrained minimum variance beamforming algorithm to suppress jamming signals, multistatic SAR images without jamming signals can be obtained. Simulation results validate the effectiveness of the proposed method in this article.
- Published
- 2022