Title
Factorized discriminative conditional variational auto-encoder for radar HRRP target recognition.
Abstract
•A method for radar HRRP target recognition is proposed based on Conditional VAE.•The model is regularized through the average HRRP for robust representations.•The label information is introduced by a three-way weight conditional model.•Weight factorization is utilized to effectively reduce model parameters.•Our method performs well under the low SNR and small amount of training data.
Year
DOI
Venue
2019
10.1016/j.sigpro.2019.01.006
Signal Processing
Keywords
Field
DocType
High-resolution range profile (HRRP),Conditional generative model,Discriminative representations,Multi-layer perception (MLP),Factorizing,Average profiles
Radar,ENCODE,Mathematical optimization,Autoencoder,Pattern recognition,Tensor,Multiplicative function,Artificial intelligence,Sufficient statistic,Discriminative model,Mathematics,Generative model
Journal
Volume
ISSN
Citations 
158
0165-1684
4
PageRank 
References 
Authors
0.40
32
5
Name
Order
Citations
PageRank
Chuan Du140.40
Bo Chen230434.22
Bin Xu3189.54
Dandan Guo491.46
Hongwei Liu541666.06