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| 1-D RANGE PROFILE IDENTIFICATION OF RADAR TARGETS BASED ON LINEAR INTERPOLATION NEURAL NETWORK |
| Sun Guangmin①; Liu Guosui②; Wang Yunhong② |
| ①Department of Electronic Engineering Beijing Polytechnic University Beijing 100022;②Dept. of Electron. Eng., Nanjing University of Science and Technology Nanjing 210094 |
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Abstract A novel neural network model---Linear Interpolation Neural Network(LINN) has been presented, which is used for radar target identification. And the 1-D range profiles of targets are used as identification feature. It is well known that the 1-D range profile reflects the precise geometric structure feature of a target, but it varies with the pose of the target. The LINN utilizes just the variation information of the 1-D range profile with the pose to improve the identification performance of targets in any posture.
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Received: 19 March 1997
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1999, Vol. 21 
