A Spectrum Recognition Method for Birds and Drones Using Residual Attention Networks

• Published in: 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP) pp. 728 - 732
• Main Authors: Chen, Jinfan, Mo, Junxian, Zheng, Zixiang, Xie, Hanfeng, Zhang, Yue
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.04.2024
• Subjects: Birds; birds and drones; Doppler effect; Doppler radar; Doppler spectrum; Drones; Radar; Radar cross-sections; residual attention network; Residual neural networks; Safety; Signal processing; target classification; Vectors

The classification of birds and drones has become a hot topic in recent years. Drones have been rapidly abused due to safety issues, and birds frequently threaten aircraft take-off and landing. But birds and drones share lower radar cross-section (RCS), speed, and altitude, making it difficult for r...