@inproceedings{5f80131673804780891fd5da8ffdb2de,
title = "Interrupted Sampling Repeater Jamming Suppression Based on Time-frequency Segmentation Network and Target Signal Reconstruction",
abstract = "Interrupted sampling repeater jamming (ISRJ) with flexible modulation and fast response capabilities seriously damages radar detection performance. The effectiveness of existing methods declines significantly at low signal-to-noise ratio (SNR) conditions. In this paper, an ISRJ suppression method based on a time-frequency segmentation network (TFSegNet) and target signal reconstruction is proposed. Utilizing the time-frequency (TF) separability of jamming and target signals, a TFSegNet is developed to automatically generate TF masks and extract the TF distribution of de-chirped target signals after jamming elimination. And the target signals reconstructed by inverse TF transform pass through a frequency-domain band pass filter to further eliminate noise. Simulation results verify the superiority of the proposed method in the low SNR and multi-target cases and the strong robustness to varying SNRs and jamming-to-signal ratios.",
keywords = "Interrupted sampling repeater jamming, Jamming suppression, Segmentation network, Time-frequency analysis, Time-frequency mask",
author = "Yunyun Meng and Lei Yu and Yinsheng Wei",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Radar Conference, RADAR 2023 ; Conference date: 06-11-2023 Through 10-11-2023",
year = "2023",
doi = "10.1109/RADAR54928.2023.10371130",
language = "英语",
series = "Proceedings of the IEEE Radar Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE International Radar Conference, RADAR 2023",
address = "美国",
}