低空小目标检测中的单通道干扰信号重构和抑制算法

doi:10.13190/j.jbupt.2020-008

北京邮电大学学报 ›› 2020, Vol. 43 ›› Issue (5): 143-148.doi: 10.13190/j.jbupt.2020-008

• 研究报告 • 上一篇

低空小目标检测中的单通道干扰信号重构和抑制算法

石潇竹¹, 杜洋帆^2,3, 李晓辉^1,2, 方聪²

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

收稿日期:2020-01-29 发布日期:2021-03-11
作者简介:石潇竹(1980-),男,研究员,E-mail:xidianshi1998@163.com.
基金资助:
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）

Single Channel Interference Signal Reconstruction and Suppression Algorithm in Low Altitude Small Target Detection

SHI Xiao-zhu¹, DU Yang-fan^2,3, LI Xiao-hui^1,2, FANG Cong²

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

Received:2020-01-29 Published:2021-03-11

摘要/Abstract

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

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.

Key words: low-altitude small target detection, mobile communication system, orthogonal frequency division multiplexing, direct wave suppression

中图分类号:

TN911.22

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.

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.

参考文献

[1] 汪洋, 郝金双. 基于CMMB信号的稀疏无源探测算法[J]. 指挥信息系统与技术, 2016, 7(3):25-31. Wang Yang, Hao Jinshuang. Sparse passive detection algorithm based on CMMB signal[J]. Command Information System and Technology, 2016(3):25-31.
[2] Feng W, Friedt J M, Cherniak G, et al. Direct path interference suppression for short-range passive bistatic synthetic aperture radar imaging based on atomic norm minimisation and Vandermonde decomposition[J]. IET Radar, Sonar & Navigation, 2019,13(7):1171-1179.
[3] 柏如龙, 孙超, 张世川. IFF信号单站无源定位技术[J]. 指挥信息系统与技术, 2017, 8(3):59-62. Bai Rulong, Sun Chao, Zhang Shichuan. Single observer passive location technology for IFF signals[J]. Command Information System and Technology, 2017, 8(3):59-62.
[4] Feng W, Friedt J M, Hu Z, et al. WiFi-based imaging for ground penetrating radar applications:fundamental study and experimental results[J]. The Journal of Engineering, 2019(20):6364-6368.
[5] 许道明, 张宏伟. 雷达低慢小目标检测技术综述[J]. 现代防御技术, 2018(1):27. Xu Daoming, Zhang Hongwei. Overview of radar LSS target detection technology[J]. Modern Defense Technology, 2018(1):27.
[6] Silverio D, Kulpa J S, Barott W C. Off-grid endoclutter target removal for passive radar[C]//2019 Signal Processing Symposium (SPSympo). Krakow:IEEE, 2019:61-66.
[7] Tang H, Wan X, Liu Y, et al. On the performance of multipath in reference signal for passive radar interference cancellation[C]//2017 IEEE Radar Conference (RadarConf). Seattle:IEEE, 2017:1313-1316.
[8] Attalah M A, Laroussi T, Gini F, et al. Range-Doppler fast block LMS algorithm for a DVB-T-based passive bistatic radar[J]. Signal, Image and Video Processing, 2019, 13(1):27-34.
[9] Colone F, Palmarini C, Martelli T, et al. Sliding extensive cancellation algorithm for disturbance removal in passive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(3):1309-1326.
[10] Fang L, Wan X, Yi J, et al. Modulation compensation of the batch version of the extensive cancellation algorithm for clutter mitigation in passive radar[J]. Journal of Electronics & Information Technology, 2014, 36(1):209-214.
[11] Ansari F, Taban M R, Gazor S. A novel sequential algorithm for clutter and direct signal cancellation in passive bistatic radars[J]. EURASIP Journal on Advances in Signal Processing, 2016(1):134.
[12] Palmarini C, Martelli T, Colone F, et al. Disturbance removal in passive radar via sliding extensive cancellation algorithm (ECA-S)[C]//2015 IEEE Radar Conference. Washington DC:IEEE, 2015:162-167.
[13] Takano Y, Su H J. A low-complexity LS Turbo channel estimation technique for MU-MIMO systems[J]. IEEE Signal Processing Letters, 2018, 25(5):710-714.

[1]	廖勇李雪杨植景. 人工智能在6G空口物理层的潜在应用研究进展[J]. 北京邮电大学学报, 2022, 45(6): 22-31.
[2]	牛凯吴泊霖戴金晟王森袁弋非. 面向6G系统的极化编码调制[J]. 北京邮电大学学报, 2022, 45(6): 1-11.
[3]	王惠琴, 杨丽荣, 彭清斌, 曹明华, 陈丹. 基于离散小波变换的O-OFDM-DIM[J]. 北京邮电大学学报, 2022, 45(3): 57-63.
[4]	朱子珅, 章晨宇, 王鲁晗, 路兆铭, 温向明. 基于异构计算加速的开源5G架构[J]. 北京邮电大学学报, 2022, 45(1): 63-68.
[5]	刘宇, 温向明, 王鲁晗, 路兆铭, 杜科良. 基于VPP的高性能UPF原型[J]. 北京邮电大学学报, 2021, 44(6): 89-95.
[6]	周立, 茅振东, 彭木根, 刘喜庆. CPF-OFDM PDMA下行传输方案[J]. 北京邮电大学学报, 2021, 44(5): 14-20.
[7]	闫实, 彭木根, 王文博. 通信-感知-计算融合：6G愿景与关键技术[J]. 北京邮电大学学报, 2021, 44(4): 1-11.
[8]	亢伟民, 杨鸿文. 星座成形在超奈奎斯特传输中的应用[J]. 北京邮电大学学报, 2021, 44(1): 32-37.
[9]	汪萧萧, 淡振雷, 顾晨伟, 朱卫平, 林敏. 多天线无人机通信系统中的安全波束成形方案[J]. 北京邮电大学学报, 2020, 43(6): 103-109.
[10]	何建华, 赵辉, 徐晓斌, 闫蕾, 王尚广. 基于改进双层LT码的天基物联网数据收集方法[J]. 北京邮电大学学报, 2020, 43(6): 118-125.
[11]	崔春风, 王森, 李可, 董静, 郑智民. 6G愿景、业务及网络关键性能指标[J]. 北京邮电大学学报, 2020, 43(6): 10-17.
[12]	马璐, 刘铭, 李超, 路兆铭, 马欢. 面向6G边缘网络的云边协同计算任务调度算法[J]. 北京邮电大学学报, 2020, 43(6): 66-73.
[13]	张尧祯, 刘昱. 基于SiGe工艺的28 GHz变压器匹配差分 Cascode功率放大器[J]. 北京邮电大学学报, 2020, 43(6): 36-41.
[14]	管婉青, 张海君, 路兆铭. 基于DRL的6G多租户网络切片智能资源分配算法[J]. 北京邮电大学学报, 2020, 43(6): 132-139.
[15]	张平, 许晓东, 韩书君, 牛凯, 许文俊, 兰岳恒. 智简无线网络赋能行业应用[J]. 北京邮电大学学报, 2020, 43(6): 1-9.

低空小目标检测中的单通道干扰信号重构和抑制算法

Single Channel Interference Signal Reconstruction and Suppression Algorithm in Low Altitude Small Target Detection

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价