NTNNavigation | Autonomous Systems Space Navigation, Inertial Coupling & Pseudolites

NTNNavigation architects resilient navigation for autonomous robots, drones, and autonomous maritime vessels—fusing satellite 5G radio signals with high-grade inertial measurement units (IMUs) and space pseudolites.

NTNNavigation Deep Inertial Space-Coupled Architecture

Tight Kalman integration of satellite pseudorange vectors with tactical MEMS gyros

Central System: Tactical-Grade MEMS IMU - Fiber-optic gyro grade drift (<0.1 deg/hr)

Network Nodes

  • Tactical-Grade MEMS IMU
  • LEO Satellite Pseudolite Receiver
  • Tightly-Coupled Extended Kalman Filter
  • Autonomous Flight / Autopilot

Architectural Protocol Layers

  • Spaceborne PHY/MAC Layer (3GPP Rel-17 TS 38.300): Doppler compensation, HARQ disabling, and timing advance extension.
  • Orbital Mesh Routing (CCSDS / Delay-Tolerant Networking): Dynamic topology routing over intermittent laser crosslinks.
  • Regenerative Core Processing (OpenRAN / 3GPP CU-DU Split): Onboard user plane function (UPF) local breakout.

Key Metrics: < 18ms (LEO Orbit-to-Ground Roundtrip) | 100 Gbps (Optical Crosslink Throughput) | ±48 kHz (Doppler Shift Compensation) | 99.999% (Orbital Constellation Availability)

Autonomous Systems Space Navigation, Deep Inertial Integration & Space Pseudolites

Core Engineering Areas

Technical Articles

Related Cluster Architecture Specifications