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低空小目标检测中的单通道干扰信号重构和抑制算法
引用本文:石潇竹,杜洋帆,李晓辉,方聪.低空小目标检测中的单通道干扰信号重构和抑制算法[J].北京邮电大学学报,2020,43(5):143-148.
作者姓名:石潇竹  杜洋帆  李晓辉  方聪
作者单位:1. 中国电子科技集团公司第二十八研究所 空中交通管理系统与技术国家重点实验室, 南京 210007;2. 西安电子科技大学 综合业务网理论及关键技术国家重点实验室, 西安 710071;3. 中国航天科技集团公司第九研究院第七七一研究所, 西安 710065
基金项目:空中交通管理系统与技术国家重点实验室开放基金项目(SKLATM201807)
摘    要:利用移动通信系统进行低空小目标检测时,传统被动检测算法无法实现单接收通道下参考信号接收对比,提出一种基于干扰信号重构的直达波抑制算法,用于对低空小目标的检测.首先通过移动通信系统感知信道传输环境;在此基础上,利用OFDM时频特性重新构建直达波信号及多径信号等干扰信号,最后通过扩展相消算法对单接收通道中的直达波干扰进行抑制.仿真结果表明,所提方法能在移动通信系统单接收通道情况下提高回波检测性能,提高低空小目标检测的准确性.

关 键 词:低空小目标检测  移动通信系统  正交频分复用  直达波抑制  
收稿时间:2020-01-29

Single Channel Interference Signal Reconstruction and Suppression Algorithm in Low Altitude Small Target Detection
SHI Xiao-zhu,DU Yang-fan,LI Xiao-hui,FANG Cong.Single Channel Interference Signal Reconstruction and Suppression Algorithm in Low Altitude Small Target Detection[J].Journal of Beijing University of Posts and Telecommunications,2020,43(5):143-148.
Authors:SHI Xiao-zhu  DU Yang-fan  LI Xiao-hui  FANG Cong
Affiliation:1. State Key Laboratory of Air Traffic Management System and Technology, The 28 th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;2. State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China;3. China Aerospace Science and Technology Corporation Ninth Research Institute 771 Research Institute, Xi'an 710065, China
Abstract:In order to solve the problem that the traditional passive detection algorithm cannot achieve the reference signal reception under a single receiving channel when using mobile communication systems to detect low-altitude small targets, a direct wave suppression algorithm based on interference signal reconstruction was proposed for the detection of low-altitude small targets. Firstly, the mobile communication system is used to perceive the channel transmission environment. On this basis, the interference signals such as direct wave signal and multipath signal are reconstructed by using the time-frequency characteristics of orthogonal frequency division multiplexing. Finally, the direct wave interference in the single receiving channel is suppressed by the extended cancellation algorithm. The simulation results show that the proposed method can improve the echo detection performance and improve the accuracy of low-altitude small target detection in the case of single receiving channel of mobile communication system.
Keywords:low-altitude small target detection  mobile communication system  orthogonal frequency division multiplexing  direct wave suppression  
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