Title :
High range resolution radar target identification using multilayer feedforward neural network
Author :
Daqing, Chen ; Zheng, Bao
Author_Institution :
Inst. of Electron. Eng., Xidian Univ., Xi´´an, China
Abstract :
In this paper range profiles offered by the high range resolution (HRR) radar are used as features and a multilayer feedforward neural network (MFNN) based classification scheme is presented for radar target identification (RTID). Typical experimental examples for identifying aircraft-type targets have shown that the range profiles can provide stable feature available for RTID, even in the situation where the change range of observing aspect angle is large. In addition, with a low ratio of learning patterns to test patterns, the trained network has good generalization capability
Keywords :
feedforward neural nets; pattern classification; radar computing; radar target recognition; aircraft-type targets; classification scheme; high range resolution radar; multilayer feedforward neural network; radar target identification; range profiles; trained network; Acoustic scattering; Aircraft; Feature extraction; Feedforward neural networks; Multi-layer neural network; Neural networks; Radar scattering; Testing; Transfer functions; Vectors;
Conference_Titel :
Radar, 1996. Proceedings., CIE International Conference of
Conference_Location :
Beijing
Print_ISBN :
0-7803-2914-7
DOI :
10.1109/ICR.1996.573810
