EW-Resistant Drones in Ukraine: Technology and Tactics 2026

The EW Threat Environment

Ukraine's battlefield has become one of the most EW-saturated environments in modern warfare history. Russia deploys a range of dedicated EW systems — Krasukha-4, Murmansk-BN, Zhitel, Pole-21, and dozens of mobile jamming platforms — creating contested radio-frequency environments over the frontline and deep into Ukrainian territory.

For drone operations, EW creates several key problems: GPS signals denied or spoofed, control link frequencies jammed, video downlink frequencies disrupted, and navigation data corrupted. A drone that can't navigate, be controlled, or see where it's going is useless — or worse, a liability if it crashes in friendly territory or fails while carrying ordinance.

In 2022, EW inflicted significant losses on Ukrainian drones, including early commercial DJI drones. By 2023, both sides were engaged in a continuous technological cycle: EW systems upgraded to defeat new drone frequencies, drones adapted with new techniques to resist. By 2026, EW resistance has become a fundamental design requirement for any new Ukrainian combat drone system.

Types of EW Attacks on Drones

• GPS jamming: Broadband noise jamming of L1/L2 GPS frequency bands. The drone loses position fix and must rely on backup navigation or return-to-home (which may itself be jammed).
• GPS spoofing: More sophisticated — transmitting false GPS signals that convince the drone it is in a different location. The drone navigates to wrong target or over hostile positions.
• Control link jamming: Jamming the 2.4GHz or 5.8GHz frequencyof the operator's RC control signal, causing the drone to execute failsafe (return home, hover, or land) — all potentially catastrophic on a combat mission.
• Video link jamming: Disrupting the FPV video feed so the operator is "blind" even if they can still control the drone. Lethal for FPV attack missions.
• Frequency sweep jamming: Rapidly sweeping across a wide frequency range to defeat frequency-hopping spread-spectrum (FHSS) radios.
• Direction-finding and kinetic targeting: Using drone radio emissions to triangulate position for artillery fire or EW-vector intercepts — not strictly jamming but part of the EW ecosystem.

Navigation Systems Comparison

Inertial Navigation Systems (INS)

Inertial Navigation Systems work entirely from onboard sensors — accelerometers measure changes in velocity, gyroscopes measure changes in orientation. Starting from a known position (e.g., launch point coordinates), INS computes present position by dead-reckoning: integrating acceleration and rotation data over time.

INS requires no external signals — it cannot be jammed. This makes it ideal for flying through zones of total GPS denial. However, INS has a critical weakness: drift error. Sensor imperfections cause small errors that accumulate over time. For a consumer-grade MEMS INS (what fits in a drone), drift can reach 50–100 meters over 10 minutes of flight.

For short-range FPV drones with <5 minute flight times, INS drift is acceptable — the drone gets within 5–20m of the target, at which point the operator visually guides to impact. For long-range strike drones (30+ minute flights), standalone INS is insufficient. Ukraine's long-range drone program therefore combines INS with TERCOM or periodic GPS updates during gaps in jamming.

Terrain-Following (TERCOM) Navigation

Terrain Contour Matching (TERCOM) navigation pre-loads a digital terrain elevation model (DTEM) into the drone's computer. During flight, onboard altimeter and barometric sensors measure the terrain profile below. The flight computer compares measured terrain with the stored map and corrects the drone's position estimate.

TERCOM is entirely passive — no GPS, no radio emissions, no EW vulnerability. It achieves ~1–3m accuracy in terrain-rich environments. Ukraine's domestically-developed long-range strike drones use TERCOM for the cruise phase of flight, enabling precise deep strikes even in heavily jammed areas over Russian territory.

TERCOM's weakness: featureless terrain (flat steppe, sea surface, urban areas with uniform rooftops) provides insufficient terrain signature for matching. Ukraine's routes are selected partly to traverse terrain-rich landscapes that support TERCOM accuracy.

Optical Flow and Visual Navigation

Optical flow navigation uses a downward-facing camera to detect ground feature movement — similar to how a human estimates speed and position by watching the ground pass. AI-enhanced visual odometry can extract position and velocity estimates from continuous camera imagery without any GPS or external signal.

More advanced visual navigation uses machine learning to recognize specific landmarks or map features, enabling precise geolocation from visual reference. This is related to the computer vision used in AI drone terminal guidance — the same AI that identifies a target can also identify landmarks for navigation.

Ukraine's AI drone development programs have incorporated optical navigation for GPS-denied operations in urban environments and over terrain where TERCOM map matching is difficult. The system works at low altitude and in daylight conditions, with thermal camera variants enabling night operation.

Fiber-Optic Control Systems

Fiber-optic FPV drones replace the radio control link with a physical glass fiber cable. The drone spools cable as it flies; the operator controls it through the cable. The cable transmits both control commands and full HD video back to the operator. Since the communication is entirely optical (light pulses in glass fiber), no radio frequency is used — making the drone completely immune to RF jamming, GPS jamming, and GPS spoofing.

Ukraine began fielding fiber-optic FPV drones in meaningful numbers from 2023. By 2026, both Ukraine and Russia use fiber-optic FPVs in EW-intensive sectors. The technology has become a standard tool for breaching EW bubbles where conventional FPV losses reach 70–90%.

Key limitations: range is hard-limited to the cable length (~5–10km), the cable can physically break or tangle, deployment is slower than standard FPV, and per-unit cost is ~$1,500–3,000 vs $300–700 for RF FPV.

Hybrid Multi-Mode Navigation

The most capable EW-resistant drones in 2026 use hybrid navigation — combining multiple navigation modes and switching between them based on availability and reliability:

1. Primary mode: Anti-jam GPS when available (fastest, most accurate)
2. Backup mode 1: TERCOM for cruise flight in GPS-denied zones (fixes accumulated INS drift)
3. Backup mode 2: INS for short periods between TERCOM updates
4. Terminal mode: Optical/computer vision for final target approach

This architecture — GPS / INS / TERCOM / Vision — ensures the drone can navigate accurately even if any single system is defeated. Russia's EW systems can jam GPS but cannot simultaneously defeat passive terrain-following and optical navigation.

The challenge is engineering: fitting accurate INS + TERCOM terrain database + optical vision into a drone small enough to be affordable and fieldable. Ukraine's long-range strike drone programs have prioritized this integration, explaining the higher cost and classified nature of those systems.

EW Resistance by Drone Type