Phasar Labs
Positioning Precision
We build advanced signal processing architectures that push the fundamental limits of GNSS carrier-phase ambiguity resolution — enabling centimeter-level accuracy where others can't.
A Different Approach to GNSS
Most positioning improvements incrementally optimize existing algorithms. We redesigned the signal processing chain from first principles.
Proprietary Architecture
Our patented signal processing framework operates on different starting assumptions than conventional approaches — yielding gains that compounding incremental improvements cannot match.
Real-Time Resolution
Carrier-phase ambiguity resolution that converges rapidly — reducing the time-to-fix and enabling positioning accuracy in scenarios where traditional methods struggle or fail entirely.
Multi-Constellation Native
Built from the ground up to exploit signals across Galileo, GPS, BeiDou, and GLONASS — extracting maximum information from every available constellation without ad-hoc integration.
Breaking Through Noise
GNSS positioning at its current accuracy ceiling is limited by how receivers process the signals they receive — not by the satellites themselves. Our work addresses that bottleneck directly.
By redesigning the signal processing pipeline — from raw observation handling through ambiguity resolution — we achieve performance improvements that are structurally impossible within conventional architectures.
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Advanced Noise Attenuation Proprietary filtering techniques that isolate the true signal from multipath, atmospheric, and hardware-induced noise.
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Rapid Ambiguity Fixing Integer ambiguity resolution that converges faster and more reliably than standard approaches, even under challenging conditions.
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Graceful Degradation Performance that degrades gracefully when signals are obstructed, jammed, or reflected — not catastrophically.
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Research-Grade Validation Every claim backed by experimental validation against reference stations and published benchmarks.