TY - GEN
T1 - Spectrum Alerting System Based on Software Defined Radio and Raspberry Pi
AU - Ball, David
AU - Naik, Nitin
AU - Jenkins, Paul
PY - 2017/12/20
Y1 - 2017/12/20
N2 - This paper presents the design and implementation of an inexpensive and generic Spectrum Alerting System (SAS), based on Software Defined Radio (SDR), by using the RTL-SDR USB device and a low- power microprocessor Raspberry Pi. The main aim of the SAS is within a defence surveillance system for discovering rogue or unidentified signals in an attentive spectrum, sending alerts to the signals intelligence analyst. However, it can be employed in any kind of intelligence surveillance system. In this implementation, the SAS analyses a predetermined part of the electromagnetic spectrum to establish a baseline pattern, subsequently, monitoring the spectrum to discover rogue or unidentified signals within this spectrum. Detected rogue or unidentified signals are recorded and an email alert message is sent to the signals intelligence analyst for further investigation. Whilst currently, this message is an email, the alert message could be sent via other means such as Twitter, Facebook or other messaging agents. Moreover, the implementation and experimental results demonstrate the success and potential of the SAS as an inexpensive and generic choice for an intelligence surveillance system in both a benign and hostile environment.
AB - This paper presents the design and implementation of an inexpensive and generic Spectrum Alerting System (SAS), based on Software Defined Radio (SDR), by using the RTL-SDR USB device and a low- power microprocessor Raspberry Pi. The main aim of the SAS is within a defence surveillance system for discovering rogue or unidentified signals in an attentive spectrum, sending alerts to the signals intelligence analyst. However, it can be employed in any kind of intelligence surveillance system. In this implementation, the SAS analyses a predetermined part of the electromagnetic spectrum to establish a baseline pattern, subsequently, monitoring the spectrum to discover rogue or unidentified signals within this spectrum. Detected rogue or unidentified signals are recorded and an email alert message is sent to the signals intelligence analyst for further investigation. Whilst currently, this message is an email, the alert message could be sent via other means such as Twitter, Facebook or other messaging agents. Moreover, the implementation and experimental results demonstrate the success and potential of the SAS as an inexpensive and generic choice for an intelligence surveillance system in both a benign and hostile environment.
KW - FFT
KW - Raspberry Pi
KW - RTL-SDR
KW - SAS
KW - Signals Intelligence Analyst
KW - Software Defined Radio
KW - Spectrum Alerting System
UR - http://www.scopus.com/inward/record.url?scp=85047529025&partnerID=8YFLogxK
UR - https://ieeexplore.ieee.org/document/8233266
U2 - 10.1109/SSPD.2017.8233266
DO - 10.1109/SSPD.2017.8233266
M3 - Conference publication
AN - SCOPUS:85047529025
T3 - 2017 Sensor Signal Processing for Defence Conference, SSPD 2017
SP - 1
EP - 5
BT - 2017 Sensor Signal Processing for Defence Conference, SSPD 2017
PB - IEEE
T2 - 7th Conference of the Sensor Signal Processing for Defence, SSPD 2017
Y2 - 6 December 2017 through 7 December 2017
ER -