Separation and Parameter Measurement of Compound Intermittent Sampling Repeater Jamming Based on AE-YOLOv8

Abstract

When measuring in the complex electromagnetic environment, radar systems need to design the signal waveform based on the jamming parameters in the environment to enhance the target measurement performance. Therefore, accurately measuring jamming parameters is of great significance for improving radar performance in jamming scenarios. To address the challenges of measuring jamming parameters under compound intermittent sampling repeater jamming (ISRJ) conditions, this article proposes a method for separating compound ISRJs and measuring their parameters, based on the attention-embedded YOLOv8 (AE-YOLOv8) cascaded with a multiple-difference-based parameter measurement (MDBPM) algorithm. First, this article analytically examines the time–frequency distribution (TFD) characteristics of ISRJ. Then, based on these characteristics, a data annotation method is designed to generate an instance segmentation dataset. Finally, AE-YOLOv8 is introduced to achieve the separation of compound ISRJs, and the MDBPM method, leveraging the separation results, is presented to measure the parameters of ISRJs. The proposed method can measure parameters such as sampling duration, forwarding duration, jamming repeat forwarding times, jamming amplitude, and arrival time in scenarios involving three overlapping ISRJs. The number of ISRJs that can be measured and the range of parameters measured are significantly superior to those of similar algorithms. Extensive simulated and real experiments validate the effectiveness of the AE-YOLOv8 cascaded with the MDBPM algorithm.