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
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;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159622
