基于雷达的自动非合作目标识别技术综述

M. Cohen
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引用次数: 19

摘要

雷达目标识别技术往往分为两大类:一类是利用雷达表征平台的物理形状,另一类是利用雷达表征目标运动部件的动态特性。前者基于平台的(本质上是瞬时的)距离(时间)振幅雷达特征,并通过生成和分析平台的超高距离分辨率(UHRR)剖面来利用。后者基于平台的频率-幅度雷达特征,以其高分辨率多普勒特征的时间演变为代表。讨论了基于这两类技术的平台自动非合作识别方法。对雷达参数、信号处理技术和模式识别技术的选择和影响进行了讨论、比较和评估,以确定它们对识别系统性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An overview of radar-based, automatic, noncooperative target recognition techniques
Radar target recognition techniques tend to fall into two principle classes: those that exploit the radar characterization of a platform's physical shape and those that exploit the radar characterization of the dynamic characteristics of the moving parts of the target. The former are based on the platform's (essentially instantaneous) range (time)-amplitude radar signature and are exploited through generation and analysis of the platform's ultrahigh range resolution (UHRR) profile. The latter are based on the platform's frequency-amplitude radar signature as represented in the time evolution of its high-resolution Doppler signature. The methodologies applicable to automatic, noncooperative recognition of platforms based on both these classes of techniques are discussed. The choice and implications of radar parameters, signal processing techniques, and pattern recognition techniques are discussed, compared, and evaluated in terms of their impact on recognition system performance.<>
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