Radar behavior recognition based on center loss lstm
PACIFIC JOURNAL OF OPTIMIZATION(2020)
Abstract
Radar behavior recognition is a challenging problem in the field of pattern recognition. In this paper, we incorporate center loss into Bidirectional Long Short-Term Memory (BiLSTM), termed C-BiLSTM, to efficiently solve the problem. With the center loss, the C-BiLSTM model can effectively classify the radar behavior based on the frequency information. Moreover, we collect a large Radar Behavior Dataset including five modes, which have 4091 samples. We achieve 99.51% using the proposed deep learning model.
MoreTranslated text
Key words
radar behavior, deep learning, center loss
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined