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October 17, 2025ElectronicsOpen Access

Multi-Interference Suppression Network: Joint Waveform and Filter Design for Radar Interference Suppression

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Authors

RCRui CaiNanyang Technological UniversityCSChenguang ShiShanghai Micro Satellite Engineering CenterWDWei DongXiamen University

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Overview

This method shows improved radar performance in multi-interference environments, suggesting significant advancements in interference suppression.

Key Points

  • MISNet effectively reduces interference cross-correlation peaks, enhancing radar detection capabilities.
  • The method combines waveform and filter design, demonstrating superior robustness in complex interference environments.
  • Utilizing complex neural networks streamlines the optimization process, allowing for end-to-end training and efficient performance enhancements.
  • Compared to traditional algorithms, this approach significantly improves radar interference suppression, indicating strong potential for practical applications.

Cite This Study

Cai et al. (2025) studied this question.

synapsesocial.com/papers/68f199bfde32064e504dcc5fhttps://doi.org/10.3390/electronics14204023
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