Visible to the public Software Defined Radio Based Mixed Signal Detection in Spectrally Congested and Spectrally Contested Environment

TitleSoftware Defined Radio Based Mixed Signal Detection in Spectrally Congested and Spectrally Contested Environment
Publication TypeConference Paper
Year of Publication2017
AuthorsHuang, Kaiyu, Qu, Y., Zhang, Z., Chakravarthy, V., Zhang, Lin, Wu, Z.
Conference Name2017 Cognitive Communications for Aerospace Applications Workshop (CCAA)
ISBN Number 978-1-5386-3988-7
Keywordscarrier frequency, cyber physical systems, cyber security application, cyclostationary domain analysis, Detectors, frequency domain analysis, frequency-domain analysis, Generators, graphical user interface, graphical user interfaces, GUI, initial phase offset, initial time delay, Metrics, mixed signal detection, modulation, multiple signal, parameter estimation, pubcrawl, pulse shaping filter, Radio frequency, resilience, Resiliency, RF signal component, RF signals, Scalability, SCF cyclostationary feature, SDR based implementation, second order spectrum correlation function cyclostationary fea- ture, security, signal detection, signal generators, Software, software defined radio based mixed RF signal generator, software defined radio based mixed signal detection, software radio, spectrally congested environment, spectrally contested environment, symbol rate, telecommunication security, time domain analysis, Time Frequency Analysis, Time-frequency Analysis
Abstract

In a spectrally congested environment or a spectrally contested environment which often occurs in cyber security applications, multiple signals are often mixed together with significant overlap in spectrum. This makes the signal detection and parameter estimation task very challenging. In our previous work, we have demonstrated the feasibility of using a second order spectrum correlation function (SCF) cyclostationary feature to perform mixed signal detection and parameter estimation. In this paper, we present our recent work on software defined radio (SDR) based implementation and demonstration of such mixed signal detection algorithms. Specifically, we have developed a software defined radio based mixed RF signal generator to generate mixed RF signals in real time. A graphical user interface (GUI) has been developed to allow users to conveniently adjust the number of mixed RF signal components, the amplitude, initial time delay, initial phase offset, carrier frequency, symbol rate, modulation type, and pulse shaping filter of each RF signal component. This SDR based mixed RF signal generator is used to transmit desirable mixed RF signals to test the effectiveness of our developed algorithms. Next, we have developed a software defined radio based mixed RF signal detector to perform the mixed RF signal detection. Similarly, a GUI has been developed to allow users to easily adjust the center frequency and bandwidth of band of interest, perform time domain analysis, frequency domain analysis, and cyclostationary domain analysis.

URLhttps://ieeexplore.ieee.org/document/8001889/
DOI10.1109/CCAAW.2017.8001889
Citation Keyhuang_software_2017