The Signal Exploitation Section in the Signal Exploitation and Geolocation Division provides advanced signal processing algorithms and systems for the automated intercept, recognition, analysis, demodulation, and location of communications signals.
The Signal Exploitation section applies signal processing techniques to detect, acquire, locate and exploit non-cooperative signal transmissions. Section members are heavily involved in developing, implementing and testing custom signal classifiers (recognizers), demodulators and decoders.
Nearly half the section members hold a PhD in electrical
engineering which allows the section to lead state of the art research in various signal processing areas as well as support current system algorithm and system requirements.
Bradley C. Brown, Manager
Technical strengths in this section include:
- Adaptive filtering
- Advanced detection techniques
- Advanced spectral estimation techniques
- Geolocation net analysis and design
- Image processing
- Interference mitigation
- N-channel systems and techniques
- Protocol analysis
- Signal analysis workstations
- Signal recognition/demodulation
- SEI techniques
- Super-resolution DF technique
- Data mining
Examples of efforts staff members are involved in include a signal analysis tool called TassGui. TassGui provides a user friendly method for an operator/analyst to visual potential signals of interest, make signal measurements, and perform automated or manual demodulation operations. The GUI will accept many signal file type inputs, display the signal in various formats (FFT, time series, etc.)
Signal Exploitation section staff members also contribute to the divisionís ongoing development of
Direction Finding (DF) and Geolocation techniques. The plot below shows the
capabilities a novel SwRI developed test system. The system relies on N-channel
technology to perform DF on all energy present in a wideband spectrum at a high
rate. The color overlay on the right half of the figure indicates direction of
arrival results for at a specific frequency over a very short time period.
This result is
useful by itself in helping operators to understand the spectral environment
they are observing, but it can also be used to enhance new energy detection
algorithms, using spatial coherency as a qualifying parameter.
SIGINT Solutions Department
and Geolocation Division
SwRI Technical Divisions
March 25, 2013