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基于FDD-OFDM信号外辐射源双基雷达的低空目标微动特征提取 被引量:1

Extraction of Micro-Doppler Characteristics for Low-Altitude Targets Based on FDD-OFDM Signal under Passive Bistatic Radar
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摘要 作为当前一种广泛使用的民用移动通信信号,lte信号是低空目标探测的一种重要外辐射源信号。开展基于LTE信号的低空目标特征分析与提取研究,对于低空监视与要地防护等具有重要意义。LTE移动通信信号的核心技术之一是多载频正交频分复用技术,OFDM,分为时分双工TDD和频分双工FDD 2种模式。针对FDD-OFDM信号,首先建立了带旋翼低空目标雷达回波模型,推导了目标散射点的多普勒和微多普勒参数化表达,并分析了其微多普勒频率的影响因素。在此基础上,使用时频分析和Hough变换结合的方法对目标的微动特征参数进行提取,验证基于FDD-OFDM信号外辐射源双基雷达的低空目标微动特征提取的可行性和有效性。 The feature analysis and extraction of low-altitude targets based on LTE signal is of great significance for low-altitude target surveillance and key site protection. One of the core techniques of LTE communication signals is multi carrier orthogonal frequency division multiplexing (OFDM), i. e. Time Division Duplex (TDD) and Frequency Division Duplex (FDD). In this paper, a radar echo model of low-altitude targets with rotors is established based on FDD-OFDM signal, the parameterized expressions of Doppler and micro-Doppler of target scattering points are derived, and the factors of micro-Doppler frequency of rotating parts are analyzed. On this basis, the micro-motion parameters of the target are extracted by a method consisting of time frequency analysis and Hough transform. The feasibility and the validity of feature extraction of low-altitude micro-motion targets are verified under passive FDD-OFDM bistatic radar.
作者 屈筱钰 李开明 张群 夏雨荷 林永照 QU Xiaoyu;LI Kaiming;ZHANG Qun;XIA Yuhe;LIN Yongzhao(College of Information and Navigation, Air Force Engineering University, Xi'an 710077, China;Collaborative Innovation Center of Information Sensing and Understanding, Xi'an 710077, China;Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China)
出处 《空军工程大学学报(自然科学版)》 CSCD 北大核心 2019年第3期90-96,共7页 Journal of Air Force Engineering University(Natural Science Edition)
基金 国家自然科学基金(61701530) 中国博士后科学基金(2017M623421) 空军工程大学校长基金(XZJY2018042)
关键词 外辐射源雷达 旋转目标 微多普勒 LTE 特征提取 passive radar rotating targets micro-Doppler long-term evolution feature extraction
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