A three-step classification framework to handle complex data distribution for radar UAV detection

作者：

Highlights：

• highlights

• Three challenges for radar UAV detection are identified.

• The proposed three-step framework well addresses these three challenges.

• The proposed approach well models the complex sample distribution of UAVs.

• The proposed approach demonstrates superior performance for UAV detection.

摘要

highlights•Three challenges for radar UAV detection are identified.•The proposed three-step framework well addresses these three challenges.•The proposed approach well models the complex sample distribution of UAVs.•The proposed approach demonstrates superior performance for UAV detection.

论文关键词：Radar UAV detection,Micro-Doppler signature,Greedy subspace clustering,Multi-Gaussian subspace reliability analysis,Subspace fusion

论文评审过程：Received 16 February 2020, Revised 9 October 2020, Accepted 21 October 2020, Available online 22 October 2020, Version of Record 6 November 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107709