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| Range Profile Recogniton of Radar Target Based on the Kernel-Based Methods |
| Meng Ji-cheng; Yang Wan-lin |
| College of Electronic Engineering UEST of China Chengdu 610054 China |
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Abstract The classification mechanism of the kernel-based methods in pattern recognition, i.e. SVMs, nonPCA, and nonLDA, are analyzed in detail in this paper. The range profiles of radar target are recognized by the kernel-based methods. The results of the simulation on three radar target show that SVMs is more effective than nonPCA and nonLDA, and a sound explanation for the results is given too.
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Received: 27 October 2003
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2005, Vol. 27 
