UNIF-PNT Platform - Autonomous Deep Space Navigation & Sensor-Fusion System

// The Kepler Nav Platform Ecosystem

End-to-end autonomous navigation platform.

Hardware & XNAV Deep-Space Payloads
Physical Systems

Hardware & XNAV Deep-Space Payloads

Space-hardened silicon pods and X-Ray Pulsar Navigation (XNAV) payloads built for CubeSats, Deep Space probes, Lunar orbiters, and tactical defense systems.

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Autonomous Navigation Engine
Onboard Software

Autonomous Navigation Engine

Real-time onboard positioning software delivering continuous 6-DOF flight determination independent of Earth GPS satellite signals.

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Global Telemetry & Ephemeris Services
Cloud & Edge API

Global Telemetry & Ephemeris Services

Secure data infrastructure streaming celestial timing, orbital ephemerides, and environmental field matrices to edge systems globally.

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Simulation Suite

HWIL Flight Simulators

Hardware-in-the-Loop testbeds validating mission navigation performance under simulated electronic warfare and deep-space dynamics.

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Enterprise Developer SDK
Integration Tools

Enterprise Developer SDK

Cross-platform SDKs enabling rapid integration of autonomous navigation into custom aerospace and defense flight control computers.

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Mission Control Dashboard
Operations Center

Mission Control Dashboard

Centralized web operations center providing real-time fleet telemetry tracking, 3D orbit visualization, and operational diagnostics.

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Editorial workflow // How it works

From physical observables to invariant position.

Step 01

Collect celestial observables

Capture physical signals across space domains: X-ray pulsar photon timestamps (XNAV), optical star tracker catalog vectors, and secondary RF observables.

Step 02

Extract sub-nanosecond timing vectors

The onboard Chip-Scale Atomic Clock (CSAC) timestamps raw pulsar X-ray phase arrival times φ̈(t) with sub-10ns pulse accuracy.

Step 03

Fuse multi-modal observations

Multi-modal observations are mapped onto the Lie Group SE₂(3) manifold, calculating dynamic Lie derivatives under central gravity fields.

Step 04

Estimate invariant state position

The Kalam Silicon Engine executes parallel sparse Cholesky matrix elimination, resolving 6D position and velocity with rank 6/6 observability.

Step 05

Deliver real-time navigation output

Delivers 100 Hz sub-millimeter positioning data to spacecraft guidance, autonomous orbit determination, and deep-space probe trajectory loops.

// Domain Applications & Dual-Use Capabilities

Critical industries powered by Kepler Nav.

Cislunar & Lunar Gateway Missions

Cislunar & Lunar Gateway Missions

Autonomous NRHO halo orbit determination and lunar lander positioning using XNAV pulsar timing.

Interplanetary Space Exploration

Interplanetary Space Exploration

Autonomous 6-DOF state estimation for Mars transit, asteroid rendezvous, and deep-space scientific probes.

Orbital Satellites & Constellations

Orbital Satellites & Constellations

Autonomous LEO/GEO satellite mesh orbit determination without ground-station tracking passes.

Defense & Electronic Warfare

Defense & Electronic Warfare

GPS-denied tactical UAVs, guided munitions, and naval submarines operating under heavy EW jamming.

Commercial Aviation

Commercial Aviation

Fail-safe backup positioning for trans-oceanic flight corridors during satellite outages.

Maritime & Subsea Operations

Maritime & Subsea Operations

Autonomous underwater vehicle (AUV) positioning and GPS-independent ship navigation.

Autonomous Land Vehicles

Autonomous Land Vehicles

Unmanned freight trucks and autonomous ground vehicles operating in urban canyons and tunnels.

Robotics & Industrial Automation

Robotics & Industrial Automation

High-precision indoor and outdoor mobile robot localization without beacons.

Telecommunications Networks

Telecommunications Networks

Nanosecond time synchronization for 5G/6G cell towers during GPS spoofing events.

Performance specifications // Benchmarks

Benchmarked at the frontier of aerospace engineering.

Realtime latency
< 12 ms

Sub-frame 100 Hz state updates

Invariant accuracy
0.38 mm

Sub-millimeter Lie manifold precision

System availability
99.9999%

Continuous PNT under jamming

Power consumption
< 1.5 W

50x acceleration efficiency

Update frequency
100 Hz

Real-time Cholesky hardware solver

Observability rank
6 / 6

Full 6D state determinism

Enterprise & research inquiries

Build with Kepler Nav.

Partner with our engineering team to integrate the UNIF-PNT navigation engine or deploy Kalam-Zero payloads for satellite and defense platforms.

Direct research email: sanjay@keplernav.com
Location: Kepler Nav Research Labs