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Defeating Jammers: Fiber Optic Gyroscope Inertial Navigation & AI-assisted targeting systems

Defeating Jammers: Fiber Optic Gyroscope Inertial Navigation & AI-assisted targeting systems

  • Defeating Jammers: Fiber Optic Gyroscope Inertial Navigation & AI-assisted targeting systems Jack
  • 15th October 2025

As electronic warfare escalates across modern battlefields, traditional drones are hitting a wall — quite literally. GPS jamming, signal spoofing, and denied environments are grounding many loitering munitions before they even reach their targets.

 

Our team set out to solve that.

Today, we’re introducing our next-generation tube-launched loitering munition equipped with Fiber Optic Gyroscope (FOG) Inertial Navigation and an onboard AI-assisted targeting system, purpose-built to overcome jamming and finish the mission even in contested airspace.

 

Why Traditional Navigation Fails in Combat

Most loitering drones rely on GPS or GNSS for navigation, and that’s exactly what adversaries are exploiting. On the modern battlefield, GPS denial zones are common. EW systems can disrupt drone guidance, leading to mid-air losses or total mission failure.

This is especially problematic for loitering munition systems that rely on long-range accuracy and autonomy.

 

The Fiber Optic Gyroscope Advantage

To counter that threat, we’ve integrated a FOG-based Inertial Navigation System (INS)  a precision system that doesn’t rely on external signals. FOG works by detecting rotational changes via light interference in coiled fiber-optic cables, offering incredibly accurate heading and positional awareness.

Key advantages:

Immune to GPS jamming/spoofing

Works underground, indoors, and in signal-denied zones

Accurate over long distances with no external reference

This means the drone can launch, navigate, and strike without ever needing to “check in” with satellites, making it near-impossible to disrupt.

 

AI-Assisted Target Recognition & Mid-Flight Correction

While the FOG INS keeps the drone on track, our AI vision system ensures it hits what matters.

Once airborne, onboard sensors scan the terrain and compare visual data against a trained object-recognition model. This enables the drone to:

Confirm and classify targets (e.g., tanks, artillery, bunkers)

Autonomously correct its trajectory in the final phase

Abort or divert if the environment changes (e.g., no target confirmation)

Our neural network is optimized for speed and resource constraints, allowing rapid target detection and adjustment even with limited onboard compute.

 

Ready to go

This new system is currently integrated into our compact, portable Phantom Razor loitering munition, designed for frontline units needing high-impact, precision-guided strike capability without reliance on complex comms infrastructure.

It’s:

Tube-launched for rapid deployment from man-portable or vehicle-based systems

Silent, small, and hard to detect

Built to survive and adapt in signal-denied environments

 NES (3)

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