US Patent Issued to Hangzhou Dianzi University on July 8 for "Unmanned aerial vehicle identification method based on blind source separation and deep learning" (Chinese Inventors)

ALEXANDRIA, Va., July 9 -- United States Patent no. 12,353,977, issued on July 8, was assigned to Hangzhou Dianzi University (Hangzhou, China).

"Unmanned aerial vehicle identification method based on blind source separation and deep learning" was invented by Zhigang Zhou (Hangzhou, China), Jiangong Ni (Hangzhou, China), Jingyu Zhao (Hangzhou, China), Xiaona Xue (Hangzhou, China), Yejiang Lin (Hangzhou, China), Dou Pei (Hangzhou, China) and Zhiqun Cheng (Hangzhou, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "An unmanned aerial vehicle (UAV) identification method based on blind source separation and deep learning is disclosed, in the method, firstly, the one-dimensional radar cross section millimeter w...