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作 者:梁书娟 LIANG Shu-juan(Department of Information Engineering,Zhengzhou Institute of Technology,Xinzheng 451150,China)
机构地区:[1]郑州理工职业学院信息工程系,河南新郑451150
出 处:《火力与指挥控制》2021年第1期73-77,共5页Fire Control & Command Control
基 金:河南省科技攻关基金资助项目(HF4891G2018)。
摘 要:对数字信号的波形优化进行了研究,提出基于快速傅立叶变换的数字信号时域波形优化算法,对信号的时域波形数据进行分类。通过建模研究,可以解决实际问题中未知波形优化函数的问题;利用快速傅立叶变换对环境信号和目标信号进行域变换处理,将信号投影至频域进行优化处理,对频域信号特性进行分析发现,利用该信号频谱特征可以对信号进行分类,从而准确地得到目标信号数量。通过仿真实验在一定程度上验证了所提算法的可行性与优越性,进行归类后可以对未知信号准确分类。In this paper,the waveform optimization of digital signal is studied,and a time-domain waveform optimization algorithm of digital signal based on fast Fourier transform is proposed to classify the waveform data of signal in time-domain.The unknown waveform optimization function in practical problems can be solved by the modeling research in this paper.The environmental signals and target signals are processed by fast Fourier transform in the domain,and the signals are projected to the frequency domain for optimal processing.The characteristics of the frequency domain signals are analyzed and found that the spectrum characteristics of the signals can be used to classify the signals and can get the accurate quantities of target signals.The feasibility and superiority of the proposed algorithm are verified to some extent by simulation experiments and the unknown signals can be accurately classified after classification.
分 类 号:TN958[电子电信—信号与信息处理]
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