CoreTalon, a pioneer in integrated aerospace defense systems, conducted a high-stakes, single-day evaluation of its C-UAS Integrated Electro-Optical (EO) Radar at its Facility No. 4 in Pengzhou, Chengdu. Designed to simulate real-world asymmetric threats, the trials focused on the system’s ability to detect, track, and neutralize low-altitude, small-scale UAVs operating within dense natural and man-made environments, including forests, mountainous terrain, and high-voltage power infrastructure.
Key Testing Scenarios & Outcomes
- Forested Environments: Overcoming Clutter
In a simulated forest zone with heavy foliage and ground clutter, the C-UAS Integrated EO Radar demonstrated its dual-sensor synergy. The radar’s wide-area scanning identified UAVs as small as 0.1m² flying below 50 meters, while the electro-optical module automatically zoomed in to classify targets using AI-powered image recognition, even amid rapid canopy movement.
- Mountainous Terrain: Defying Topographic Obstacles
Against a backdrop of steep slopes and rock formations, the system employed adaptive elevation adjustments to maintain uninterrupted tracking. Its terrain-mapping algorithms filtered out false positives caused by wildlife or shifting shadows, achieving a 98.3% target-lock accuracy rate during high-speed UAV maneuvers.
- High-Voltage Power Towers: Battling EMI
Near electromagnetic interference (EMI)-rich power towers, the radar’s frequency-hopping capability and shielded EO sensors ensured stable performance. The system simultaneously tracked three micro-drones flying within 10 meters of high-voltage lines, showcasing its resistance to signal degradation.
Technical Breakthroughs Validated
The trials confirmed critical advancements:
Dual-Mode Fusion: Seamless integration of radar range/velocity data with EO visual confirmation reduced target identification latency to under 1.2 seconds.
AI-Drive Prioritization: Machine learning algorithms autonomously ranked threats based on flight patterns, enabling rapid focus on hostile UAVs while ignoring benign objects like birds.
Low-Altitude Superiority: Enhanced ground-clutter suppression allowed detection of UAVs flying as low as 10 meters, a critical capability for urban or jungle operations.
Dr. Liang, CoreTalon’s Lead Systems Engineer, remarked, “This test validates our radar’s unmatched precision in ‘blind zones’ where traditional systems fail. By merging spectral agility with AI analytics, we’ve redefined the benchmark for complex-environment C-UAS readiness.”
Strategic Implications
The successful trial positions CoreTalon’s C-UAS Integrated EO Radar as a top contender for border security, critical infrastructure protection, and counter-terrorism deployments. The company has already initiated partnerships to adapt the system for Arctic and desert conditions, with fielding expected by Q3 2026.
