基于降噪自编码器的相控阵雷达工作模式识别

doi:10.16182/j.issn1004731x.joss.201709012

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (9): 1960-1967.doi: 10.16182/j.issn1004731x.joss.201709012

基于降噪自编码器的相控阵雷达工作模式识别

刘浩东, 金炜东, 陈春利, 蔡建

西南交通大学电气工程学院,成都 610031

收稿日期:2017-06-15 出版日期:2017-09-08 发布日期:2020-06-02

Work Mode Identification of Phased Array Radar with Denoising Auto-encoder

Liu Haodong, Jin Weidong, Chen Chunli, Cai Jian

School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China

Received:2017-06-15 Online:2017-09-08 Published:2020-06-02
About author:Liu Haodong (1993-), Suzhou, China, master student, research direction is pattern identification. Jin Weidong (1959-), Anhui Province, China, professor and Ph.D. supervisor, research direction is pattern identification and intelligent information processing.

摘要/Abstract

摘要： 提出了一种新的相控阵雷达工作模式的识别方法,基于多层建模和边际化堆栈降噪自动编码器。为分析情报雷达截获的脉冲幅值变化规律,提出多层建模,即分别从脉冲级、脉冲组级、工作模式级进行建模。利用边际化堆栈降噪自动编码器提取不同工作模式幅值特征。在深度网络的最顶层添加SVM分类器来实现相控阵雷达的工作模式识别。仿真实验表明,新方法能够提取到输入的本质特征,减少对先验知识的依赖性,识别率达95%以上,为雷达工作模式识别提供了一种新思路。

关键词: 相控阵雷达, 工作模式, 多层次建模, 边际化自动编码器

Abstract: A new method to recognize phased array radar in different work modes was proposed based on multi-level modeling combined with Marginalized Stacked Denoising Auto-encoder. In order to analyze the change law of pulses intercepted by surveillance radar, multi-level modeling was proposed to model the pulses at pulse level, pulse group level and work mode level. Marginalized stacked denoising auto-encoder was trained to extract amplitude characteristics at the work mode level. SVM (Support Vector Machine) was added to the top of deep network to realize work mode identification of phased array radar. Qualitative experiments show that the new method is able to extract essential characteristics of the input with its accuracy over 95%, which provides a new idea for mode identification of phased array radar.

Key words: phased array radar, work mode, multi-level modeling, marginalized auto-encoder

中图分类号:

TP183

刘浩东, 金炜东, 陈春利, 蔡建. 基于降噪自编码器的相控阵雷达工作模式识别[J]. 系统仿真学报, 2017, 29(9): 1960-1967.

Liu Haodong, Jin Weidong, Chen Chunli, Cai Jian. Work Mode Identification of Phased Array Radar with Denoising Auto-encoder[J]. Journal of System Simulation, 2017, 29(9): 1960-1967.

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基于降噪自编码器的相控阵雷达工作模式识别

Work Mode Identification of Phased Array Radar with Denoising Auto-encoder

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