An Anti-2D Deceptive Jamming Method for Bistatic SAR Based on Jammer Localization

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Authors: Jiale Zhang, Wenqiang Huang, Wei Lu, Yicai Ji, Xiaojun Liu, Guangyou Fang
Cited by: 1
References: 37

Abstract

Synthetic aperture radar (SAR) is an essential instrument for Earth observation but is vulnerable to intentional electromagnetic jamming during imaging. Two-dimensional (2D) deceptive jamming can introduce highly realistic false targets into SAR images, severely impairing scene interpretation and undermining the reliability of remote sensing missions. Multichannel/static SAR systems exploit additional spatial degrees of freedom to locate the jammer and suppress its signals through spatial filtering, thereby achieving anti-deceptive jamming and ensuring the robustness of remote sensing operations. However, existing multichannel/static methods require excessive system channels and are effective only against limited types of jamming, such as range deception. This paper proposes a bistatic SAR-based method for anti-2D deceptive jamming. The method requires only two channels and a single-pass imaging acquisition while effectively suppressing all types of deceptive jamming, including range, azimuth, and 2D. Compared with existing methods, it achieves broader deceptive jamming type adaptability while reducing both channel and acquisition requirements. First, a method is developed to extract deceptive jamming discrepancy from the two channels of bistatic SAR, which simultaneously enables false target detection. Then, a unified mathematical relationship is established between the extracted jamming discrepancy and the jammer's 2D position, allowing accurate localization. Finally, the 2D minimum variance distortionless response digital beamforming technique is applied to spatially filter the jammer signals and suppress the deception. Simulation results demonstrate the effectiveness and superiority of the proposed method.

Fields of Study & Subjects

Advanced SAR Imaging Techniques Radar Systems and Signal Processing Sparse and Compressive Sensing Techniques

Publication details

Journal / source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
19
Pages
4457–4471
Publication date
1 January 2026