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| A Frame Segmentation Method for Radar HRRPs Based on Correlation Coefficient |
| Liu Jing① Zhang Jun-ying①② Du Lan② |
| ①(School of Computer Science and Engineering, Xidian University, Xi’an 710071, China) ②(National Key Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China) |
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Abstract Target-aspect sensitivity makes High Resolution Range Profiles (HRRP) become a long sequence with statistical characteristic changing continuously. A novel frame segmentation method based on correlation coefficient is presented according to the statistical characteristic changes of HRRP sequence. Experimental results for measured data show that the presented method can exactly divide the statistical characteristic changes of HRRPs and the resulting frames are coincident with flying trajectory. Template Matching Method (TMM) classifier in time domain, shortest distance classifier and Support Vector Machine (SVM) classifier in frequency domain are used to evaluate recognition performances. Comparing with the current uniform frame segmentation method based on scattering center model, the presented method efficiently improves the recognition rates.
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Received: 11 January 2007
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Corresponding Authors:
Liu Jing
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2008, Vol. 30 
