Numerica excels at the processing of non-resolved imagery collected by visual and infrared sensors, both day and night. Our advanced image processing algorithms support multiple defense domains and include track-before-detect techniques to enable the viewing of exceedingly dim targets. Numerica has also developed the technology needed to optically track satellites in broad daylight. This represents the first-ever, low-cost daytime satellite tracking solution capable of global proliferation to help close the daytime ground-based-optical coverage gap.

Numerica has been developing state-of-the-art multi-target tracking solutions since its inception in 1996. Numerica’s patented optimization-based approach to multiple hypothesis target tracking, entitled Multiple Frame Assignment (MFA), delivers robust real-time performance in stressful scenarios. Numerica’s MFA approach reduces data association errors compared to conventional tracking techniques.

Numerica’s multi-target tracking approach can also ingest both measurement data and track reports while scaling efficiently from one-to-many sensors and very large track loads. By associating and fusing sensor data with a common origin, we can produce a composite track picture that is superior to any constituent sensor picture.

Furthermore, Numerica’s multi-target tracking technology can be used to maintain a common track picture across a distributed network of platforms. Our model-based tracking software has been extended to many sensor types, such as radar and EO/IR, and numerous target types, such as air-breathing targets, ballistic missiles, ground targets, and surface ships.

Real-time correlation and fusion of measurement and track data for superior situational awareness in benign and electronic attack environments:

• Integrates all data sources into one track file, minimizing dual tracks, swaps and spurious tracks.
• Supports most radars, including primary and secondary surveillance, 3D air defense and approach radars.
• Easily scales up from one sensor to many sensors and very large track loads.
• High-performance, multi-hypothesis algorithms provide highly accurate, real-time integrated track outputs.
• Adaptable architecture can be expanded through add-on modules that provide enhanced capabilities for diverse missions and use cases.

Numerica has worked in the area of resource management (i.e., sensor management and battle management) for over a decade. During this time, we have focused on stressing scenarios in which resources could easily become overtasked. In this challenging regime, offline plans and heuristics may fail to provide acceptable performance. In contrast, Numerica’s online optimization-based approach to resource management seeks an optimal resource allocation based on current space domain awareness. Numerica’s resource manager is computationally efficient, which allows us to re-plan frequently as more information becomes available. Our resource manager also plans over a receding horizon and incorporates uncertainty from the underlying optimization problem, thereby avoiding asset allocations that are myopic or fragile. Our resource manager is model-based, which makes it straightforward to incorporate new assets and various network architectures. Our resource manager can also accept operator input, such as allocation constraints and task prioritization.

PNT is a critical capability to the United States military, government services, and commercial sector.  The growing prevalence of inexpensive and easily available GPS-jamming technology requires resilient navigation and timing independent of GPS.

Numerica provides advanced solutions for restoring PNT to a network of agents in the absence of reliable GPS measurements. Our technology provides hyper-accurate time of arrival estimation to provide ranging, timing, and distributed localization. Our solution is scalable to networks of thousands of interconnected platforms and is robust to dynamic network configurations.