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Improvement on Radar Automatic Target Recognition Using HRRPs
雷达高分辨距离像自动目标识别方法的改进

Keywords: High Resolution Range Profile (HRRP),Radar Automatic Target Recognition (RATR),Template Matching Method under the Maximum Correlation Coefficient criterion (MCC-TMM),Adaptive Gaussian Classifier (AGC)
高分辨距离像
,雷达自动目标识别,最大相关系数模板匹配法,自适应高斯分类器

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Abstract:

Scattering center target model is widely used to describe the target electromagnetic scattering properties in optical region.It achieves good recognition performance in High Resolution Rang Profiles (HRRPs) based Radar Automatic Target Recognition (RATR). Due to the characteristics of scattering center, sometimes HRRPs may appear abnormity, which results in error classification. In order to solve the above problems, this paper mainly discusses the sensitivities of airplane targets with the variation of course, pitch and roll angle, the property of the HRRPs near the airplane target?s broadside, and coherent apex phenomena in test data. Corresponding schemes are proposed to improve the recognition performance. Experimental results based on the simulated HRRP data show the proposed schemes can improve the recognition performance effectively.

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