雷达科学与技术2025，Vol.23Issue(2)：158-166,175,10.DOI:10.3969/j.issn.1672-2337.2025.02.006
脉冲分裂条件下LFM信号的提取与参数估计
An Extraction and Parameter Estimation Method of LFM Signals Under Pulse Splitting Conditions
摘要
Abstract
Aiming at the problem that the original signal parameters are difficult to estimate due to the pulse split-ting caused by the low signal-to-noise ratio of the linear frequency modulation(LFM)signal under the background of multi-radar radiation source pulse interleaving,a two-stage extraction and parameter estimation method for LFM signals based on deep neural networks and histogram statistics is proposed in this paper.Firstly,the bidirectional long short-term memory is utilized to mine the modulation pattern differences between LFM and non-LFM signals within the origi-nal pulse stream for classification.Secondly,the sequential frequency modulation slope histogram is used to uncover the original signal frequency modulation slope information between split LFM pulse sequences,extracting LFM signal pulse subsequences of different frequency modulation slopes.Finally,the parameters of the original signal in each subse-quence are estimated separately.Simulation experiment results indicate that,compared with the traditional sequence dif-ference histogram algorithm and recurrent neural network sorting method,the proposed method in this study can extract LFM pulse signals more accurately and obtain more precise parameter estimation results.关键词
脉冲分裂/信号提取/双向长短时记忆网络/序列调频斜率直方图/参数估计Key words
pulse splitting/signal extraction/bidirectional long short-term memory/signal frequency modula-tion slope/parameter estimation分类
信息技术与安全科学引用本文复制引用
惠帅宇,杨柳,邢世其,徐伟,田元荣..脉冲分裂条件下LFM信号的提取与参数估计[J].雷达科学与技术,2025,23(2):158-166,175,10.基金项目
国家自然科学基金(No.62001489) （No.62001489）
