As frontier domains such as autonomous aerospace and AI converge into the physical world, GNSS technology serves as the fundamental anchor bridging digital cognition to physical reality through high-precision Positioning, Navigation, and Timing (PNT).
Airoha’s high-performance GNSS SoCs deliver continuous, robust 3D spatial coordinate computation and kinematic trajectory tracking—even in non-line-of-sight (NLOS) conditions, high-interference environments, and signal-denied scenarios. By seamlessly linking humans, vehicles, and edge devices to AI architectures, our solutions power diverse mobility applications across land, marine, and aerial domains—from consumer-grade wearables to industrial precision instruments and mission-critical automotive systems.
Built to withstand rigorous automotive-grade reliability standards, Airoha provides superior dynamic accuracy, deterministic low latency, and industry-leading power efficiency.
FAST
- Rapid Signal Acquisition & Dynamic Convergence
LEAN
- Ultra-Low Power & Optimized Compute Budget
PRECISE
- Carrier-Phase Ambiguity Resolution & Resilient Accuracy
FAST: Rapid Signal Acquisition & Dynamic Convergence
-
Sub-3-Second Warm-Start TTFF & AI-Assisted Orbit Prediction (ELPO)
Leveraging Enhanced Long-lasting Prediction Orbit (ELPO), the system synthesizes multi-constellation orbital ephemerides and satellite clock biases. Upon power-on, the receiver instantly generates precise aiding data, slashing the Warm-Start Time-To-First-Fix (TTFF) down to under 3 seconds for instantaneous, zero-latency PNT delivery.
-
High-Update-Rate PVT Engine & Open Raw Measurement Architecture
The baseband processing pipeline outputs standard NMEA/binary protocols at high update rates, ensuring real-time dynamic tracking for automotive and kinematic platforms. Furthermore, Airoha exposes carrier-grade GNSS raw measurements (Pseudorange, Carrier Phase, Doppler, and C/N_0), granting system integrators full flexibility to execute proprietary high-order estimation filters while minimizing R&D integration overhead and interface risks.
-
3D Kinematic Sensor Fusion, Fusion Dead Reckoning (FDR)
In deep urban canyons, underpasses, and rugged off-road terrains, our multi-source fusion algorithm bridges signal interruptions. FDR tightly couple’s baseband observables with 6-DOF IMU (accelerometer/gyroscope) dynamics and barometric altimeter data, continuously reconstructing true 3D kinematic trajectories and spatial attitude across variable motion states.
LEAN: Ultra-Low Power & Optimized Compute Budget
-
AI-Driven Search Window Narrowing & Baseband Power Optimization
By deploying AI-predicted ephemerides, the baseband correlator drastically narrows the frequency-Doppler and code-phase search spaces. This minimizes satellite acquisition and tracking latencies, substantially reducing digital signal processing (DSP) overhead and extending battery autonomy for always-available, edge-deployed devices.
-
Deep Learning Multipath Mitigation & Signal Conditioning
Integrating Machine Learning (ML) and Deep Learning (DL) inferencing at the baseband layer, the receiver identifies, classifies, and filters out non-line-of-sight (NLOS) and multipath reflections. Suppressing reflection distortion upstream yields conditioned, deterministic PVT observables while lowering system processing loads.
PRECISE: Carrier-Phase Ambiguity Resolution & Resilient Accuracy
-
Extended 7-Day Autonomous Ephemeris & QELPO
Maintains uninterrupted positioning autonomy via 7-day offline orbit modeling. For data-constrained environments, Quick-ELPO (QELPO) provides an ultra-compact 6-hour prediction model with minimal bandwidth consumption and elevated update frequencies.
-
Multi-Constellation, Multi-Band (L1/L5) Dual-Frequency Diversity
Supports concurrent tracking across all major GNSS constellations over dual carrier frequencies (L1 + L5). Dual-frequency linear combinations eliminate up to 99.9% of first-order ionospheric group delays, delivering unparalleled signal resilience beneath dense urban foliage and concrete structures.
-
Centimeter-Level Real-Time Kinematic (RTK) & HPG PE
Integrates carrier-phase integer ambiguity resolution using differential base station corrections. Powered by the High Precision GNSS Positioning Engine (HPG PE), the platform achieves robust, real-time centimeter-level accuracy, bridging consumer applications to mission-critical automotive (ADAS) and industrial surveying demands.
-
FDR: Dynamic Pace & Micro-Odometer Optimization
Mitigates multipath-induced position jumps, velocity spikes, and trajectory drift in athletic tracking. Enhances instantaneous pace stability and distance accumulation accuracy for athletic telemetry and professional sports wearable applications.
-
ADR: Signal-Denied Autonomous Navigation
Guarantees continuous navigation across multi-level subterranean parking facilities, spiral ramps, and extended tunnels. Automotive Dead Reckoning (ADR) fuses GNSS measurements with vehicle chassis telemetry (wheel-speed pulses via CAN bus) and 6-axis IMU sensing to constrain error drift and deliver continuous, lane-level positioning.
Product Overview
