Millimeter-Wave Radar Target Recognition Algorithm Based on Collaborative Auto-Encoder

Yilu MA  Zhihui YE  Yuehua LI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E102-D   No.1   pp.202-205
Publication Date: 2019/01/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDL8142
Type of Manuscript: LETTER
Category: Pattern Recognition
Keyword: 
target recognition,  high resolution range profile,  auto-encoder,  frame-specific weight vector,  

Full Text: PDF(481.5KB)
>>Buy this Article


Summary: 
Conventional target recognition methods usually suffer from information-loss and target-aspect sensitivity when applied to radar high resolution range profile (HRRP) recognition. Thus, Effective establishment of robust and discriminatory feature representation has a significant performance improvement of practical radar applications. In this work, we present a novel feature extraction method, based on modified collaborative auto-encoder, for millimeter-wave radar HRRP recognition. The latent frame-specific weight vector is trained for samples in a frame, which contributes to retaining local information for different targets. Experimental results demonstrate that the proposed algorithm obtains higher target recognition accuracy than conventional target recognition algorithms.