ELINT信号分类中频信号预处理方法的设计与分析

J. Perdoch, Z. Matousek, J. Ochodnicky
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引用次数: 1

摘要

自动目标识别一直是电子智能系统中的一项关键技术。识别过程以信号分析为基础。其中,信号调制作为加密层尤为重要。提出了一种基于两阶段自动电子智能目标识别的新方法。在第一阶段,设计了一种自动分类,将这些对象的信号自动分类为四种调制中的一种。第二阶段是实现电子智能目标识别。对第一阶段以神经网络为主要部分的信号预处理和分类进行了分析和描述。本文设计并比较了两种预处理算法A和B。对这些算法的仿真结果进行了分析。算法A不满足所有条件,而算法B适用于电子智能对象信号的分类,当信噪比在- 2dB以上时,正确分类的概率大于0.95。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Analysis of IF Signal Preprocessing Methods for the Classification of ELINT Signals
Automatic object identification has been a key technology in electronic intelligence systems. Identification process is based on signal analysis. Especially, the signal modulation as level of encryption is important. A new method based on two-stage automatic electronic intelligence objects identification is described in this paper. In the first stage, an automatic classification is designed to automatically sort signals of these objects into one of the four kinds of modulation. The second stage is designed to realize electronic intelligence object recognition. The signal preprocessing and classification using neural network as the main part of the first stage is analyzed and described. Two algorithms of the preprocessing, A and B, are designed and compared in this paper. Simulation results of these algorithms are analyzed. While the algorithm A does not meet all the conditions, the algorithm B is suitable for classification of electronic intelligence object signals with the probability of correct classification higher than 0.95 when the signal–to–noise ratio is above −2dB.
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