Radar Target Recognition Based on Kernel Projection Vector Space Using High-resolution Range Profile

2013 ◽  
Author(s):  
Daiying Zhou
Keyword(s):  
High Resolution ◽  
Vector Space ◽  
Target Recognition ◽  
Radar Target ◽  
Projection Vector ◽  
Radar Target Recognition ◽  
Range Profile ◽  
High Resolution Range Profile

RADAR TARGET RECOGNITION BASED ON PARAMETERIZED HIGH RESOLUTION RANGE PROFILES

2000 ◽  
Vol 14 (07) ◽  
pp. 979-986 ◽  
Author(s):  
XUEJUN LIAO ◽  
ZHENG BAO
Keyword(s):  
High Resolution ◽  
Data Reduction ◽  
Target Recognition ◽  
Recognition System ◽  
Experimental Results ◽  
Radar Target ◽  
Discriminative Power ◽  
Power Performance ◽  
Radar Target Recognition ◽  
Significant Data

A new scheme of radar target recognition based on parameterized high resolution range profiles (PHRRP) is presented in this paper. A novel criterion called generalized-weighted-normalized correlation (GWNC) is proposed for measuring the similarity between PHRRP's. By properly choosing the parameter of the mainlobe width in GWNC, aspect sensitivity of PHRRP's can be reduced without sacrificing their discriminative power. Performance of the scheme is evaluated using a dataset of three scaled aircraft models. The experimental results show that by using GWNC, only a small number of most dominant scatterers can achieve the same recognition rates as HRRP's, thus leading to a significant data reduction for the recognition system.

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