Energy Function Guided Histogram Analysis for Interrupted Sampling
Repeater Jamming Suppression
Abstract
Interrupted sampling repeater jamming (ISRJ) is a novel intra-pulse
coherent jamming based on digital radio frequency memory (DRFM). By
repeatedly sampling and retransmitting the radar transmitting signal
fragments, a series of false targets can be formed after pulse
compression (PC), posing a severe threat to modern radar systems.
Inspired by the energy function method and histogram analysis in image
processing, an adaptive time-frequency (TF) filtering method is proposed
in this letter. The ISRJ-contaminated regions can be accurately
determined in the TF image after histogram analysis and subsequent
energy accumulation. Guided by the energy function, the proposed method
can automatically adjust the intensity threshold in TF image histogram
analysis and therefore reveals better robustness compared with other
competing methods. Simulations have verified the effectiveness and
robustness of the proposed method against ISRJ under various
circumstances.