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中文摘要：
针对雷达自动目标识别（RATR）中高分辨距离像（H砌冲）的平移敏感性，从HRRP中提取出一种新的距离像平移不变特征：距离像幅度谱差分。理论分析的结果表明距离像幅度谱差分特征比距离像幅度谱特征更适合于RATR。采用外场实测数据，分别训练了最短距离分类器和SVM分类器，两种分类器的识别结果均表明，相比幅度谱特征，幅度谱差分特征可提高数据可分性并显著提高识别率。
英文摘要：
Radar High-Resolution Range Profile （HRRP） is very sensitive to time-shift; therefore, HRRP-based Radar Automatic Target Recognition （RATR） requires efficient time-shift invariant features. A new time-shift invariant feature, i.e., amplitude spectrum difference of HRRP, is extracted from HRRP to solve the time-shift sensitivity. The result of theoretical analysis shows that, as a time-shift invariant feature, amplitude spectrum difference is more suitable for HRRP-based RATR than amplitude spectrum is. Shortest distance classifier and Support Vector Machine （SVM） classifier are designed to evaluate the recognition performance. Experimental results for measured data show that, comparing with amplitude spectrum, amplitude spectrum difference improves recognition performance remarkably.
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