多层WFRFT-MIMO卫星通信系统抗截获性能研究

翟东; 达新宇; 张喆; 梁源; 薛凤凤

doi:10.15892/j.cnki.djzdxb.2021.01.015

弹箭与制导学报 >

2021 , Vol. 41 >Issue 1: 70 - 75

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.01.015

多层WFRFT-MIMO卫星通信系统抗截获性能研究

翟东 ¹ ,
达新宇 ¹ ,
张喆 ² ,
梁源 ¹ ,
薛凤凤 ¹

展开

¹ 空军工程大学信息与导航学院, 西安 710077
² 95129部队, 河南开封 475003

翟东(1993—),男,山西泽州人,硕士研究生,主要研究方向:卫星隐蔽通信。

收稿日期: 2018-06-11

网络出版日期: 2025-02-11

基金资助

国家自然科学基金(61571460)

收起

Research on Anti-intercept Performance of Multi-layer WFRFT-MIMO Satellite Communication System

ZHAI Dong ¹ ,
DA Xinyu ¹ ,
Zhang Zhe ² ,
Liang Yuan ¹ ,
Xue Fengfeng ¹

Expand

¹ Information and Navigation College, Air Force Engineering University, Xi’an 710077, China
² No. 95129 Unit, Henan Kaifeng 475003, China

Received date: 2018-06-11

Online published: 2025-02-11

Fold

摘要

针对卫星通信安全性不高、易被截获、频谱资源紧张的问题,提出一种多层加权类分数阶傅里叶变换(ML-WFRFT)与多输入多输出(MIMO)技术相结合的通信系统。ML-WFRFT提高了信号的抗截获性,MIMO技术提高了频谱利用率,并且对基于高阶累计量(HOC)的识别方法进行改进,通过识别概率定量分析了通信系统的抗截获性能。随着调制阶数的增大,抗截获性能在不断增强,当两个调制阶数分别为0.7,0.8,信噪比在[0,2]范围时,QPSK信号的正确识别概率小于0.06。

关键词： 卫星通信; WFRFT; MIMO; 抗截获; 识别概率

本文引用格式

翟东 , 达新宇 , 张喆 , 梁源 , 薛凤凤 . 多层WFRFT-MIMO卫星通信系统抗截获性能研究[J]. 弹箭与制导学报, 2021 , 41(1) : 70 -75 . DOI: 10.15892/j.cnki.djzdxb.2021.01.015

Abstract

This paper proposes a new kind of anti-interception communication system based on Multi-layer weighted-type fractional Fourier transform (WFRFT) and multiple input multiple output (MIMO). ML-WFRFT improves anti-interception performance of the signal and MIMO improves spectrum utilization. The recognition method based on higher-order cumulants (HOC) is improved, and the anti-interception performance of the communication system is quantitatively analyzed through the recognition probability. As the modulation order increases, the anti-intercept performance is continuously enhanced. When the two modulation orders are 0.7 and 0.8, respectively, the signal-to-noise ratio is in the range of [0,2], the correct recognition probability of QPSK signal is less than 0.06.

Key words： satellite communication; WFRFT; MIMO; anti-interception; recognition probability

[an error occurred while processing this directive]

参考文献

原文顺序 | 文献年度倒序 | 文中引用次数倒序

[1]	CHAUDHARY S, KAPOOR R, SHARMA A. Empirical evaluation of 4 QAM and 4 PSK in OFDM based inter-satellite communication system[J]. Journal of Optical Communications, 2017, 9: 6-29.

[2]	易克初, 李怡, 孙晨华, 等. 卫星通信的近期发展与前景展望[J]. 通信学报, 2015, 36(6):1-16.

[3]	KATO S, MORIKURA M, KUBOTA S, et al. A TDMA satellite communication-system for ISDN services[J]. IEEE Journal on Selected Areas in Communications, 2015, 10(2): 456-464.

[4]	HOWARD S J, KETCHUM J W, WALLACE M, et al. Pilots for MIMO communication systems: EP1556985 A2[P]. 2005-07-27.

[5]	HASAN M M, SAGAR S M.Wireless communication through long term evolution (LTE) over satellite channel by using MIMO-OFDM model[C]//2013 International Conference on Advances in Electrical Engineering(ICAEE), 2013: 170.

[6]	MARIA ALSINA-PAGES R, SALVADOR M, HERVAS, et al. Spread spectrum high performance techniques for a long haul high frequency link[J]. IET Communications, 2015, 9(8): 1048-1053.

[7]	倪磊, 达新宇, 王舒, 等. 基于物理层信息加密的卫星隐蔽通信研究[J]. 工程科学与技术, 2018, 50(1):133-139.

[8]	SHIH C C. Fractionalization of Fourier transform[J]. Optics Communications, 1995, 118(5/6): 495-498.

[9]	MEI L, SHA X J, ZHANG N T. The approach to carrier scheme convergence based on 4-weighted fractional fourier transform[J]. IEEE Communications Letters, 2010, 14(6): 503-505.

[10]	MEI L, SHA X J, ZHANG N T. Covert communication based on waveform overlay with weighted fractional Fourier Transform signals[C]// IEEE. International Conference on Wireless Communications, Networking and Information Security(WCNIS), June 25-27, 2010. Beijing: [s. n.],2010: 472-475.

[11]	HOFMANN C A, STOREK K U, SCHWARZ R T, et al. Spatial MIMO over satellite: a proof of concept[C]// ICC 2016 IEEE International Conference on Communications, 2016: 1-6.

[12]	邱昕, 沙学军, 梅林. 基于加权分数傅立叶变换的混合载波码分多址多天线系统[J]. 吉林大学学报(工学版), 2013, 43(1):218-222.

[13]	SHERMEH A E, GHAZALIAN R. Recognition of communication signal types using genetic algorithm and support vector machines based on the higher order statistics[J]. Digital Signal Processing, 2010, 20(6): 1748-1757.

Options

文章导航