Company Filing History:
Years Active: 2024-2026
Title: Mahdi Maaref: Innovator in GNSS Technology
Introduction
Mahdi Maaref is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of Global Navigation Satellite Systems (GNSS) through his innovative patents. With a total of 5 patents, Maaref is recognized for his advancements in machine learning applications within GNSS technology.
Latest Patents
One of Mahdi Maaref's latest patents focuses on "Multipath mitigation in GNSS receivers with machine learning models." This invention utilizes machine learning techniques to address multipath issues in L5 GNSS receivers. In this embodiment, training data is generated to provide ground truth data for excess path length (EPL) corrections for a set of received GNSS signals. The system extracts features from these signals and employs them alongside the ground truth data to train neural networks capable of producing EPL corrections for pseudorange measurements. These trained neural networks can be deployed in GNSS receivers to enhance the accuracy of pseudorange measurements.
Another notable patent is the "User-aided signal line-of-sight (LOS) machine learning classifier." This invention also employs machine learning techniques to mitigate multipath in GNSS receivers. It includes a trained model that provides EPL corrections, which can be updated using models from assistance servers in communication with the GNSS receiver. The receiver sends extracted features from received GNSS signals to these servers, which utilize a source of true EPL corrections to train a server model. Once trained, this model can replace the initial trained model in the GNSS receiver, improving its performance.
Career Highlights
Mahdi Maaref is currently employed at Onenav, Inc., where he continues to develop innovative solutions in GNSS technology. His work has positioned him as a key figure in the integration of machine learning with navigation systems.
Collaborations
Mahdi collaborates with various professionals in his field, including his coworker Paul W McBurney. Their combined expertise contributes to the advancement of GNSS technologies.
Conclusion
Mahdi Maaref's contributions to GNSS technology through his innovative patents demonstrate his commitment to enhancing navigation systems. His work in machine learning applications is paving the way for more accurate and reliable GNSS receivers.