南京航空航天大学主页平台管理系统 zhulingzhi--Home-- Classification of UAV-to-ground Targets Based on Enhanced Micro-Doppler Features Extracted via PCA and Compressed Sensing

朱凌智,Associate Professor

朱凌智，副研究员，硕士生导师，分别于2016年6月和2021年6月在南京理工大学获得工学学士和工学博士学位，2021年7月至2024年2月在南京理工大学电子科学与技术博士后流动站从事科学研究，2024年2月加入南京航空航天...more+

Classification of UAV-to-ground Targets Based on Enhanced Micro-Doppler Features Extracted via PCA and Compressed Sensing

Release time:2024-04-15 Hits:

Journal:IEEE Sensors Journal

Indexed by:Journal paper

Translation or Not:no

Included Journals:SCIE、EI、SCI

Date of Publication:2020-12-01

Pre One: Multi-Angle Recognition of Vehicles Based on Carrier-Free UWB Sensor and Deep Residual Shrinkage Learning Next One: Classification of UAV-to-Ground Targets Based on Micro-Doppler Fractal Features Using IEEMD and GA-BP Neural Network