EAGER: Bio-inspired Low Probability of Detection Secure RF Waveform Design

EAGER：仿生低检测概率安全射频波形设计

• 批准号: 1748494
• 负责人: Zhiqiang Wu
• 金额: $ 12.5万
• 依托单位: Wright State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1748494&HistoricalAwards=false
• 关键词: EAGER; Bio; inspired; Low; Probability

The goal of this project is to conduct research and development of a novel secure communication waveform design technique in which not only the data of the communication is secure but the very existence of the communication itself is hidden. By exploiting a bio-inspired approach, a novel radio frequency waveform will be designed to serve multiple purposes and contain multiple layers of messages simultaneously. The developed radio frequency waveform exhibits no feature that can be exploited by the adversary to detect its existence through time domain analysis, frequency domain analysis, or cyclostationary analysis.This project takes advantage of recent progress in the radar and communication communities and brings them together synergistically to develop an unprecedented low probability of detection, secure radio frequency waveform design. Existing low probability of detection waveforms do not provide a true low probability of detection and security capability when new advanced detection schemes such as cyclostationary analysis are brought to bear. This project employs a novel bio-inspired RF steganography scheme to obscure the communication signal within a radar signal. This newly designed signal remains an effective radar signal providing normal radar capabilities such as range measurement to its operators; but it also carries secure digital communication intended for designated receivers. Instead of limiting the transmission power of the signal in hopes of avoiding detection by the adversary, the newly designed waveform is broadcast at maximum power. However the adversary does not detect the existence of digital modulation embedded in the hybrid signal because it does not exhibit any feature when subjected to time domain analysis, frequency domain analysis, or cyclostationary analysis. This project is transformative because it provides a brand new way to design low probability of detection and secure communication and radio frequency systems, and it also paves the way to future development of a universal cognitive radio frequency platform where all radio frequency systems such as communication, radar, and navigation are designed jointly to optimize their performance and spectrum efficiency.

本课题的目标是研究和开发一种新型的安全通信波形设计技术，不仅通信数据是安全的，而且通信本身的存在是隐藏的。通过利用生物启发的方法，一种新的射频波形将被设计用于多种目的，同时包含多层信息。开发的射频波形没有任何特征可以被对手利用，通过时域分析、频域分析或循环平稳分析来检测其存在。该项目利用雷达和通信领域的最新进展，将它们协同起来，开发出前所未有的低探测概率、安全的射频波形设计。现有的低概率检测波形不能提供一个真正的低概率检测和安全能力，当新的先进的检测方案，如循环平稳分析承担。该项目采用一种新颖的仿生射频隐写方案来掩盖雷达信号中的通信信号。这种新设计的信号仍然是一种有效的雷达信号，为其操作员提供正常的雷达功能，如距离测量；但它也为指定的接收器提供安全的数字通信。新设计的波形以最大功率广播，而不是为了避免对手发现而限制信号的发射功率。然而，攻击者并没有检测到嵌入在混合信号中的数字调制的存在，因为当进行时域分析、频域分析或周期平稳分析时，它没有表现出任何特征。该项目具有变革性，因为它为设计低概率检测和安全通信和射频系统提供了一种全新的方式，并为未来通用认知射频平台的发展铺平了道路，该平台将联合设计所有射频系统，如通信，雷达和导航，以优化其性能和频谱效率。

项目成果

Dual-Use Multicarrier Waveform for Radar Detection and Communication

• DOI: 10.1109/taes.2017.2780578
• 发表时间: 2018-06
• 期刊: IEEE Transactions on Aerospace and Electronic Systems
• 影响因子: 4.4
• 作者: J. Ellinger;Zhiping Zhang;Zhiqiang Wu;M. Wicks

Intelligent and Reliable Deep Learning LSTM Neural Networks-Based OFDM-DCSK Demodulation Design

• DOI: 10.1109/tvt.2020.3022043
• 发表时间: 2020-12-01
• 期刊: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
• 影响因子: 6.8
• 作者: Zhang, Lin;Zhang, Haotian;Wu, Zhiqiang
• 通讯作者: Wu, Zhiqiang

Carrier Interferometry Code Index Modulation Aided OFDM-Based DCSK Communications

• DOI: 10.1109/vtcfall.2019.8891582
• 发表时间: 2019-09
• 期刊: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
• 作者: Zhaofeng Liu;Lin Zhang;Zhiqiang Wu;Jing Bian

A General Orthogonal Transform Aided MIMO Design for Reliable Maritime Visible Light Communications

• DOI: 10.1109/jlt.2020.3016662
• 发表时间: 2020-12
• 期刊: Journal of Lightwave Technology
• 影响因子: 4.7
• 作者: Guixun Huang;Lin Zhang;Yuan Jiang;Zhiqiang Wu

An OFDM-Based Pre-Coded Chaos Shift Keying Transceiver for reliable V2V Transmission

• DOI: 10.1109/tvt.2022.3158395
• 发表时间: 2022-06
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Zuwei Chen;Lin Zhang;Jian Zhang-;Zhiqiang Wu;Danzeng Luobu