DocumentCode
561690
Title
Radar HRRP target recognition based on K-SVD algorithm
Author
Feng, Bo ; Du, Lan ; Liu, Hong-wei ; Li, Fei
Author_Institution
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Volume
1
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
642
Lastpage
645
Abstract
We develop a K-SVD algorithm based radar HRRP target recognition method, which can adaptively select the sparse decomposition coefficient based on test noise environment. Experimental results on measured data show our method obtains a better performance than PCA based method.
Keywords
principal component analysis; radar target recognition; K-SVD algorithm; PCA based method; radar HRRP target recognition; sparse decomposition coefficient; test noise environment; Approximation algorithms; Approximation methods; Dictionaries; Radar; Signal to noise ratio; Target recognition; Dictionary Learning; High-resolution range profile (HRRP); K-SVD algorithm; Radar automatic target recognition (RATR); Sparse representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159622
Filename
6159622
Link To Document