NSF grant to aid more accurate localization of wireless devices

February 07, 2020 //By Rich Pell
NSF grant to aid more accurate localization of wireless devices
Signal processing research and development company Signal Processing Technologies (Merrimack, NH) says it has been awarded a National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase One grant to dramatically increase the location accuracy of wireless devices.

The company says it is developing algorithms that will provide 10x more accurate localization of 4G and 5G wireless devices, especially in buildings, disaster areas, and other GPS-challenged environments, using only wireless infrastructure. This will provide first responders with improved location accuracy of E911 callers and enable commercialization of applications for IoT and other low-cost devices.

To achieve this, says the company, it is employing cutting-edge mathematical methods that exploit both spatial and temporal terrestrial multi-antenna arrays for non-line-of-sight (NLOS) as well as traditional line-of-sight (LOS) scenarios.

"The ability to broaden the set of scenarios in which devices can be accurately localized," says Joe Farkas, Co-Founder and CEO of SPT, "will lead to new capabilities for first responders, military commanders, inventory managers, and a host of IoT applications currently not commercially viable."

Barry Johnson, Director of the NSF's Division of Industrial Innovation and Partnerships says, "The National Science Foundation supports small businesses with the most innovative, cutting-edge ideas that have the potential to become great commercial successes and make huge societal impacts. We hope that this seed funding will spark solutions to some of the most important challenges of our time across all areas of science and technology."

Founded to bring innovative signal processing technology to the commercial and defense markets, SPT says it is focused on the most complex signal processing challenges that require deep experience and knowledge in fundamental research through complicated embedded development.

Signal Processing Technologies

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