US Air Force and SandboxAQ address GPS jamming and spoofing

Photo: SandboxAQ

SandboxAQ has been awarded an SBIR Phase 2B Tactical Funding Increase (TACFI) by the United States Air Force (USAF) to further develop its dual-use AQNav magnetic navigation (MagNav) system. Under the contract, SandboxAQ and its partner AFWERX will explore new configurations of the AQNav technology, including a pod-based attachment, for use on a broader range of aircraft platforms, such as unmanned aerial systems.

AQNav navigation technology combines proprietary artificial intelligence (AI) Large Quantitative Models (LQMs), powerful quantum sensors and the Earth’s crustal magnetic field, resulting in a solution that operates effectively in all weather conditions, day or night and across any terrain. AQNav technology is completely passive and operates in real-time, offering an unjammable and un-spoofable alternative to traditional navigation methods. This system functions entirely independently of GNSS, offering a secure and dependable navigation option in environments where satellite signals may be compromised or unavailable. This is a key example of applying quantitative AI – AI models trained on quantitative data and not language. SandboxAQ is a leader in Large Quantitative Models (LQMs), in this case to pull the signal from the background magnetic noise for navigation.

This funding increase extends a prior Direct-to-Phase-II SBIR contract awarded to SandboxAQ in January 2023. To date, SandboxAQ’s AQNav technology has logged more than 200 flight hours and more than 40 sorties across multiple regions on four different aircraft types, ranging in size from single-engine planes to large military transport aircraft. In this process, AQNav was successfully tested in two USAF exercises – Exercise Golden Phoenix and Exercise Mobility Guardian – Air Mobility Command’s largest exercise at the time.

AQNav uses a powerful quantum magnetometer system to acquire data from Earth’s crustal magnetic field, which exhibits geographically unique patterns – similar to a human fingerprint. AQNav uses proprietary LQMs to compare this data against known magnetic maps, enabling the system to quickly and accurately find its position. Due to the high sensitivity of foundational quantum sensors, AI algorithms are applied to improve the signal-to-noise ratio, removing any mechanical, electrical, or other interference that would impact the system’s ability to acquire its location.

AQNav is available worldwide and can be used in air, land, and sea applications. The system does not rely on visual ground features or satellite transmissions to function and is not affected by weather conditions. Additionally, AQNav’s passive technology emits no electronic signals, which reduces the aircraft’s detectability. It operates at room temperature, requires no shielding, and has a small form factor that can be integrated into a wide variety of platforms, from multi-engine airliners to unmanned aerial vehicles.

SandboxAQ is developing AQNav as a dual-use solution to address the need for resilience to GPS vulnerabilities, which extends societally and economically. In addition to the USAF, SandboxAQ is engaged with several aerospace leaders to test and develop AQNav, including other allied governments, Boeing and Acubed — Airbus’s Silicon Valley research and innovation center.