时频混叠电磁信号参数测量及重频跟踪方法  

Parameter Measurement and Repeatition Frequency Tracking Method of Time-frequency Aliasing Electromagnetic Signal

作　　者：刘佳伟 达通航 王松 李敏剑 张二涛 LIU Jiawei;DA Tonghang;WANG Song;LI Minjian;ZHANG Ertao(Unit 63618 of PLA,Korla 841000,China)

机构地区：[1]解放军63618部队,新疆库尔勒841000

出　　处：《舰船电子对抗》2024年第6期70-74,91,共6页Shipboard Electronic Countermeasure

基　　金：国家社会科学基金项目,项目编号:2023-SKJJ-B-064;国家社会科学基金项目,项目编号:2022-SKJJ-046。

摘　　要：时频混叠条件下的电磁信号参数测量和重频跟踪是电磁对抗领域研究的难点和重点。为了能够将时频域相互混叠的多个信号进行参数测量并跟踪其重频,构建了可用于电磁信号特征提取识别和分割的深度神经网络。通过神经网络首先对电磁信号进行识别,然后进行电磁信号的参数测量及重频跟踪,有效解决了混叠信号的参数测量及重频跟踪问题,并使用采集到的具有3个信号混叠的射频直采数据对方法的有效性进行了验证。Electromagnetic signal parameter measurement and repeatition frequency tracking under the condition of time-frequency aliasing are difficult and important for the study in the field of electromagnetic countermeasures.In order to measure the parameters of multiple signals in the time-frequency domain and track their repeatition frequency,a deep neural network which can be used for the feature extraction,recognition and segmentation of electromagnetic signals is constructed.Through the neural network,the electromagnetic signal is first identified,and then the parameter measurement and repeatition frequency tracking of electromagnetic signal are carried out,which effectively solve the problem of parameter measurement and repeat frequency tracking of aliasing signals.The effectiveness of the method is verified by using the radio frequency(RF)direct sampling data with three-signal aliasing.

关 键 词：混叠信号 参数测量 神经网络 重频跟踪 

分 类 号：TN971[电子电信—信号与信息处理]