Feb 1, 2011

Etegent Extends Sensor Technology into Feature Aided Tracking


Company awarded Air Force Phase I SBIR grant and will leverage prior performance knowledge and technology into high demand area of feature aided tracking

Etegent Technologies Ltd., a high-tech, research and development company, has been awarded a Phase I SBIR from the U.S. Air Force to build performance models for feature-aided trackers. For this project, Etegent will leverage its prior performance estimation libraries developed for high resolution radar (HRR), synthetic-aperture radar (SAR), laser detection and ranging (LADAR), and vibrometry sensors for a different application area.

According to the official Air Force SBIR solicitation (AF103-192), “The expected output of Phase I would be an analysis and report that mathematically and algorithmically described the integrated performance model and feature aided tracker.” For Etegent, this project represents an opportunity to expand upon its experience with sensor exploitation for the military and its work in the field of algorithm performance modeling.

“Tracking objects across multiple complex environments using wide area persistent sensors is an important technical challenge,” said Adam Nolan, chief technology officer for Etegent. “This is an exciting problem area with many industrial and military applications, and this project will allow us to demonstrate our capabilities in the fields of performance prediction and feature aided tracking algorithms.”

The overarching goal of performance modeling is to map knowledge of sensor, environment, and target state to specific target exploitation capability. An exploitation algorithm that utilizes this knowledge can be used for a variety of applications, from offline mission planning and online confidence reporting, to optimization of the signal processing chain.


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