Title :
Aircraft target recognition using adaptive time-delay neural network
Author :
Xiao Huaitie ; Zhuang Zhaowen ; Chen Zhenpin ; Songhua, He ; Guo Biao
Author_Institution :
Nat. Univ. of Defense Technol., Hunan, China
Abstract :
In this paper, an adaptive time-delay neural network (ATDNN) classifier based on high resolution radar down range profiles is proposed for use in aircraft target recognition, and a peak-based feature extraction technique for the range profiles is introduced. The results of experiments show that the average correct recognition rate of scale model aircrafts is 87.6% under the condition of three kinds of aircrafts
Keywords :
adaptive signal processing; backpropagation; feature extraction; multilayer perceptrons; pattern classification; radar computing; radar cross-sections; radar signal processing; radar target recognition; radar tracking; target tracking; time series; adaptive time-delay neural network; aircraft target recognition; average correct recognition rate; delay blocks; error backpropagation; gradient descent method; high resolution radar down range profiles; multilayered network; peak-based feature extraction technique; radar backscatter signals; range profiles; scale model aircrafts; thresholding; total RCS; Adaptive systems; Aircraft; Neural networks; Pattern recognition; Radar cross section; Radar measurements; Radar scattering; Signal processing; Signal resolution; Target recognition;
Conference_Titel :
Aerospace and Electronics Conference, 1997. NAECON 1997., Proceedings of the IEEE 1997 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3725-5
DOI :
10.1109/NAECON.1997.622726
