Company Filing History:
Years Active: 2022-2023
Title: The Innovations of Zifei Tong in GNSS Technology
Introduction
Zifei Tong, an accomplished inventor based in Santa Clara, CA, has made significant contributions to the field of Global Navigation Satellite Systems (GNSS). With a total of three patents to his name, Tong’s work focuses on enhancing the accuracy and reliability of GNSS receivers through innovative signal processing methods.
Latest Patents
Tong's latest patents illustrate his expertise in GNSS signal modeling and environmental structure modeling. The first patent describes a method of processing signal paths that involves receiving an estimated location for a GNSS receiver. It details how to generate candidate positions around this estimated location and model signal paths using ray-launching techniques on geographical data. This method incorporates reflected signal paths and performs comparisons with measured GNSS signal data to determine the actual location of the receiver.
The second patent presents a method of modeling mutable environmental structures. Similar to the first, it starts with an estimated location of the GNSS receiver and involves determining candidate positions. By utilizing a GNSS localization model, it outputs probabilities for those positions, ultimately selecting the most probable location as the actual location of the GNSS receiver.
Career Highlights
Zifei Tong is currently an employee at Google Inc., where he utilizes his expertise in GNSS technology to tackle complex engineering challenges. His innovative approach and technical knowledge have earned him recognition within the industry.
Collaborations
During his career, Tong has collaborated with talented individuals such as Stefano Maggiolo and Imad Jean Fattouch. These collaborations reflect an environment of teamwork and innovation, essential for driving advancements in technology.
Conclusion
Zifei Tong’s contributions to GNSS technology not only showcase his capabilities as an inventor but also significantly enhance the accuracy and reliability of navigation systems. With his ongoing work at Google Inc., he continues to inspire future innovations in this vital field.