Yijie Liu,Tao He,Shixiong Zhang,Zhijun Yan,Deming Liu,Qi Sun
出处
期刊:Conference on Lasers and Electro-Optics日期:2021-01-01
标识
DOI:10.1364/cleo_at.2021.jw1a.122
摘要
A method for disturbance positioning in noisy environment is introduced. By the partitioning algorithm and a well-trained B-P neural network classifier, an average locating accuracy of 95% was demonstrated in the field test.