World’s first commercially available L5-direct™ GNSS solution includes Machine Learning (ML) algorithms to leverage increased L5 signal ranging precision and deliver unmatched performance in challenging signal condition


Sunnyvale, California, May 12, 2022 –
oneNav today announced performance results from field testing its latest L5-direct CES software in both open sky and very challenging signal environments. The patent-pending oneNav GNSS system, including a custom array processor and a library of Machine Learning (ML) algorithms, demonstrated consistent sub-meter accuracy and rapid TTFF (<2 sec) in open sky testing. In very challenging urban and deep urban canyon environments, the L5-direct CES field test equipment outperformed the commercial precision L1 GNSS unit against which it was compared, demonstrating tracking of satellite signals as weak as -160 dBm. The oneNav system was able to acquire directly and track L5 signals in all environments with no L1 receiver present, greatly simplifying the RF front end and antenna subsystem and making the L1-direct solution ideal for space- and power- constrained mobile and IoT devices requiring reliable high performance.

Results of a representative urban drive test route are shown below (the map describes the route driven). During this test, the CES and the commercial precision L1 receiver were both connected to a common antenna, fixes were taken once/second, and the results were compared to a common ground truth position. On average, the oneNav system demonstrated a 55% improvement in accuracy over the precision L1 receiver.

oneNav’s family of ML algorithms improves L5-direct system performance by predicting whether the received signal is Line of Sight (LOS); and correcting Non-Line of Sight (NLOS) signals to increase the number of measurements available for accurate positioning.

The L5-direct ML algorithms characterize signal and multipath environments. Accordingly, algorithms developed in one deep urban area can be used to mitigate multipath in areas which are geographically different, but which present similar multipath signatures. This obviates the need for field test teams to collect data in thousands of urban areas around the globe.

About oneNav

oneNav is enabling AI-powered next generation GNSS silicon. Based in California, oneNav is developing L5-direct™ GNSS receiver technology for smartphones, wearables, drones, tracking devices, and more and has built a large L5-band patent portfolio. oneNav’s team comprises top GNSS experts from Qualcomm, Apple, Intel, SnapTrack, SiRF, Trimble and eRide. With extensive experience in GNSS system architecture, multipath mitigation, signal processing, ASIC design and AI/machine learning, oneNav engineers have designed and built billions of GNSS receivers on the market today and have collectively filed over 300 career GNSS patents. World-class VC investors include Google Ventures, Norwest Venture Partners, and IQT.

Media Contact:

Ellen Kirk