GPS denial, jamming and spoofing are a growing global concern, jeopardizing aircraft and passenger safety, disrupting commercial and military operations, and affecting the reliability of essential services.
AQNav is SandboxAQ’s breakthrough dual-use magnetic navigation system for Assured Positioning Navigation and Timing (APNT). Leveraging powerful quantum sensors, proprietary AI algorithms, and Earth’s crustal magnetic field, AQNav delivers an unjammable, all-weather, terrain agnostic, passive technology, APNT solution where GPS signals are unavailable, denied, or spoofed.
SandboxAQ delivers the first dual-use magnetic navigation system, providing live position information during uncontrolled, operational flights with a unique roll-on, roll-off capability, delivering real-time positional data directly to an iPad on a U.S. Air Force (USAF) aircraft.
In 2023, the USAF awarded SandboxAQ a Direct-to-Phase-II Small Business Innovation Research contract to explore magnetic anomaly navigation. We successfully completed the first flight tests of the AQNav system eight months ahead of schedule. We have the largest publicly known database for Magnetic Navigation. To date, AQNav has logged more than 200 flight-hours and more than 40 sorties on four different aircraft types, ranging in size from a single engine private plane to large military transport aircraft. Additional flight tests are scheduled. Read about our participation in the USAF’s Exercise Golden Phoenix and Exercise Mobility Guardian – Air Mobility Command's largest exercise ever at the time.
In addition to the USAF, AQNav has garnered interest from several aircraft manufacturers, including Boeing and Acubed – the Silicon Valley research and innovation center of Airbus – and other allied governments, which are in various stages of testing the technology.
AQNav uses extremely sensitive quantum magnetometers to acquire data from Earth’s crustal magnetic field, which exhibits geographically unique and immutable patterns – similar to a human fingerprint.
Proprietary AI algorithms compare this data against known magnetic maps, enabling the system to quickly and accurately find its position. Due to the high sensitivity of 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.
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