| 何炜琨,柳振明,王晓亮.微动特征和运动特征融合处理的鸟与
旋翼无人机目标辨别方法[J].电子测量与仪器学报,2022,36(7):33-43 |
| 微动特征和运动特征融合处理的鸟与
旋翼无人机目标辨别方法 |
| Target identification method of birds and rotor-wing UAVs based on thefusion of micro motion characteristics and motion characteristics |
| |
| DOI： |
| 中文关键词: 鸟 旋翼无人机 目标辨别 运动特征 微动特征 融合处理 |
| 英文关键词:birds rotor-wing UAVs target identification motion features micro-motion features fusion processing |
| 基金项目:国家自然科学基金（62141108）、中国民航大学国家自然科学基金配套专项（3122022PT22）项目资助 |
|
|
|
|
| 摘要点击次数: 382 |
| 全文下载次数: 626 |
| 中文摘要: |
| “鸟击”事件与旋翼无人机“黑飞”扰航事件成为威胁民航飞行安全的“两大隐患”,机场对于鸟和旋翼无人机会采取不
同的反制措施,鸟与旋翼无人机的辨别对于提升非合作目标监视性能、保障飞行安全具有重要意义。 针对基于运动特征提取的
鸟与旋翼无人机目标辨别方法中对于机动性较强的旋翼无人机辨别性能下降的问题,考虑到相对于旋翼无人机,鸟类目标振翅
回波时频谱更为复杂,构建目标回波时频谱对应的特征谱能量熵及峰值对称对两个微动特征,利用 K-means 对所提取的运动特
征和微动特征进行融合处理,实现鸟与旋翼无人机目标的辨别,实验结果验证了本文方法的有效性。 |
| 英文摘要: |
| The “bird strike” and the “black flight” disturbance incident of the rotary-wing UAVs have become the “two hidden dangers”
threatening the flight safety of civil aviation. The different countermeasures against birds and rotary-wing UAVs will be taken in the
airports. The identification of birds and rotary-wing UAVs is of great significance for improving the monitoring performance of noncooperative targets and ensuring flight safety. Aiming at the problem that the discrimination performance of the rotor-wing UAV with
strong maneuverability for the discrimination method based on the motion feature extraction is degraded, considering that the timefrequency spectrum of the bird target is more complex relative to the rotary-wing UAV. Firstly, the micro-motion features of the spectrum
energy entropy corresponding to the target echo spectrum and the peak symmetry pair are constructed, Secondly, K-means is used to fuse
the extracted motion features and micro-motion features and the identification of birds and rotor-wing UAV targets can be realized. The
experimental results verify the effectiveness of the proposed method. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
