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针对基于提取雷达参数特征的分选方法中存在的特征提取困难、受噪声影响大以及对波形变化敏感等问题,依据相似性度量理论,文中提出了一种基于波形相似度测量的雷达辐射源分选方法。在完成对已有相似性度量算法研究的基础上,采用将夹角余弦算法、平均绝对差算法、动态滑动窗口算法相结合的方法,分别从雷达波形的整体和局部测量波形的相似度,实现雷达辐射源信号的配对分选。仿真结果表明,该方法能够克服传统分选方法的缺陷,相比基于信号互相关的分选算法,有效提高辐射源信号分选的准确率,对先验知识的依赖性不强,具有一定的抗噪能力。
Aiming at the problems of feature extraction based on the characteristics of extracted radar parameters, such as the difficulty of feature extraction, the influence of noise and the change of the waveform, based on the similarity measurement theory, a radar radiation source based on waveform similarity measurement Election method. Based on the research of existing similarity measure algorithms, the method of combining angle cosine algorithm, average absolute difference algorithm and dynamic sliding window algorithm is used respectively to realize the similarity of global and local measured waveforms of radar waveforms Paired sorting of radar emitter signals. The simulation results show that this method can overcome the shortcomings of the traditional sorting method. Compared with the sorting algorithm based on signal cross-correlation, this method can effectively improve the accuracy of the signal sorting of radiation source, and has less dependence on prior knowledge, Anti-noise ability.