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本文是一篇综述文,没有什么创新,只是试图对反导弹系统目标识别技术的全过程作一个简明的阐述。文中给出了描绘目标识别的功能框图和数学模型。 目标识别的理论基础是模式识别理论和统计判决理论,但它不同于图象增强和图形识别,在实际应用中有其特殊的处理分析技术。作者认为,最重要的工作是特征信号的提取,其次才是根据特征信号的统计分布（多数不是正态分布）进行分类器的设计。
This article is a review paper, there is no innovation, just trying to target the anti-missile system to identify the entire process of technology to make a concise exposition. In this paper, the functional block diagram and mathematical model of target recognition are given. The theoretical basis of target recognition is pattern recognition theory and statistical decision theory, but it is different from image enhancement and image recognition, and has its special processing and analysis technology in practice. The author believes that the most important work is the extraction of feature signals, and secondly, the design of classifiers is based on the statistical distribution of the feature signals (most are not normally distributed).