DocumentCode :
694322
Title :
Radar HRRP target recognition based on optimal transformation
Author :
Daiying Zhou
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
42
Lastpage :
45
Abstract :
A novel radar target recognition method using high-resolution range profile (HRRP), called as optimal transformation (OT), is proposed in this paper. The aim of this approach is to increase the distance between the different classes, and reduce the distance between the same class. Firstly, OT enhances the between-class difference by increasing the distance between clustering centers. Then, OT reduces the distance between the same class by seeking a transformation matrix that can preserve the local structure of the within-class optimally Thus, OT has better performance of recognition than the other methods. Experimental results on the measured data of three airplane targets show that the effectiveness of proposed method.
Keywords :
matrix algebra; optimisation; pattern clustering; radar signal processing; radar target recognition; airplane target; clustering center distance; high resolution range profile; optimal transformation; radar HRRP target recognition; Airplanes; Equations; Feature extraction; Radar; Signal to noise ratio; Target recognition; Vectors; HRRP; Radar target recognition; local structure preserving; optimal transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967060
Filename :
6967060
Link To Document :
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