General Dynamics (GD) Mission Systems has collaborated with Intelligent RF Solutions (iRF) to resell SignalEye product, which is designed to deliver spectrum situational awareness.

SignalEye is a software-only solution that uses machine learning technology to automate the classification of signals for situational awareness across the radio frequency (RF) spectrum.

iRF supports global defence and intelligence missions with solutions for SIGINT and electronic warfare (EW) missions.

GD noted that the product can be implemented in a tactical context as an add-on for iRF’s SMR-7522 LiteRailminiaturised portable wideband microwave receiver.

Housed in a rugged chassis for remote operations in harsh environments, LiteRail receives and digitises advanced narrowband and wideband signal targets. It is suitable for low size, weight and power (SWaP) platforms or manpack applications.

Intelligent RF Solutions vice-president and general manager John Neubert said: “General Dynamics Mission Systems is a world leader in defence-grade security and products, and we’re looking forward to enhancing our current EW solution set with SignalEye.

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“Our solution will allow users to achieve spectrum-wide situational awareness faster as we’ve eliminated lengthy manual classification and increased accuracy of multiple signal types.”

“This reseller agreement provides us with the opportunity to help customers meet evolving mission demands in this highly contested environment.”

According to GD, SignalEye provides an accurate view of threats in the RF spectrum for tactical troops, security personnel, RF system developers and spectrum managers.

It also assists strategic analysts to detect trends in the behaviour of an enemy or threat.

General Dynamics Mission Systems ground systems vice-president and general manager Bill Patterson said: “Our partnership with iRF provides a solid foundation for customers to build mission-focused applications for electronic warfare, and security and surveillance contexts.

“Working together, our solution will allow users to achieve spectrum-wide situational awareness faster as we’ve eliminated lengthy manual classification and increased accuracy of multiple signal types.”