We deliver technology-driven services and solutions for the DoD's most difficult electronic warfare (EW) and radio frequency (RF) challenges. Our radiofrequency spectrum exploitation team creates digital signal processing algorithms within commercial off-the-shelf (COTS) and government off-the-shelf (GOTS) software defined radio architectures.
Cutting Edge ISR
We develop and migrate the most advanced processing algorithms into small and affordable COTS/GOTS products to solve tomorrow's asymmetric challenges. Our experience with National Intelligence Architectures shortens development timelines, reduces costs and increases product reliability.
Machine Learning Algorithms
Our algorithms provide real-time intelligence with no or limited a priori information. We use Machine Learning to reduce the need for the Target Library. Our team identifies patterns of life in the RF environment and executes real-time anomaly detection. We use all available information to reduce warfighter workload while simultaneously increasing electronic surveillance detection accuracy.
Advanced Electronic Warfare
We advance the state of the art in modern software defined EA architectures by reverse engineering threat radios and data links to enhance our ability to develop successful EA techniques while minimizing attribution. Our proven smart jamming techniques are operationally deployed to warfighters in multiple COCOMs and provide Force Protection on a daily basis.
TReX is a better way to experiment, train, and plan next generation SIGINT & EW operations. It is an easy to set up hardware and software suite that enables users to conduct true testing and evaluation of EW systems and techniques anytime and anywhere. TReX can be easily set up in a lab, classroom, outdoor range, or deployed environment. It acts as a “victim” system that enables users to transmit and receive high fidelity representations of many commercial and non-commercial threat emitters, and test new EW techniques against their waveforms. Users are able to observe the effects of applied EW systems and techniques on the simulated victim radios through the TReX application.
TReX can also be used to practice CONOPs in a network simulated environment. Several TReX devices can be set up to communicate with one another and the generated reports can be used to enable better planning by showing commanders which techniques are most effective against threat receivers. TReX currently has the capability to mimic the following specific threat radio waveforms:
- Fast Frequency Hopping Tactical Radios
- Fixed Frequency Tactical Radios
- GNSS Signals
- TDMA/CDMA Bulk Transmitters
- Modern Comms Modulations including FSK, BPSK, BPSK-DSSS, OFDM, and QAM
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Galileo is a software solution that performs unsupervised Machine Learning to target adversary frequency-hopping tactical radios, isolate frequencies and hop patterns, and perform automatic predictive EW response.
Galileo uses our FINED (Fused INternals and Externals Detection) algorithm to blindly detect, characterize, and infer EW targeting parameters with no static target library.
Galileo labels known threats in near real-time to provide a continuously updating training set to its externals-based detectors. Galileo not only detects fast frequency hopping signals with no prior information, but also identifies small observed variances in known threat emitters. It detects individual threat hops, clusters multiple emitters simultaneously, and in most cases automatically demodulates and frame-synchronizes anomalous emitters.