Two-dimensional deceptive jamming mitigation algorithm for SAR imaging using frequency diverse array

Abstract

The synthetic aperture radar (SAR) may be threatened greatly by the deceptive jamming within its main-lobe. To tackle this problem, a two-dimensional self-adaptive frequency diverse array (FDA)-based SAR processing scheme is proposed in this study. Considering that transmit and receive steering vectors of FDA are range-angle dependent, in FDA-SAR, the spectrum distributions of true targets and jamming in joint transmit-receive frequency domain depends on the actual locations of scattering points and the jammer, respectively. Therefore, the false signal can be distinguished due to the mismatch in either range or angle. Then by employing a two-dimensional self-adaptive filter, the phony targets can be mitigated even if the jammer locates in the main beam. In the end, the simulation results showed that it achieves enhanced suppression capability and smaller ineffective area comparing with the static spatial filter in conventional multichannel SAR.

Keywords

• radar imaging
• jamming
• adaptive filters
• radar signal processing
• synthetic aperture radar
• spatial filters
• sar imaging
• synthetic aperture radar
• main-lobe
• self-adaptive frequency diverse array-based sar processing scheme
• range-angle dependent
• fda-sar
• joint transmit-receive frequency domain
• conventional multichannel sar
• dimensional deceptive jamming mitigation algorithm