This inventor holds 6 USPTO granted patents. Top assignee: Saab Sensis Corporation. Active years: 2011-2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2011-2017
Title: Innovations of Ryan Haoyun Wu
Introduction
Ryan Haoyun Wu is an accomplished inventor based in Manlius, NY (US). He has made significant contributions to the field of sensor systems and GNSS technology. With a total of 6 patents, his work focuses on enhancing the accuracy and reliability of target location determination.
Latest Patents
One of his latest patents is a "Sensor system and method for determining target location using sparsity-based processing." This invention provides a system and method for an arrayed sensor to resolve ambiguity in received signals, improve direction of arrival accuracy, and estimate the location of one or more targets in environments with signal interference. Another notable patent is the "System and method for GNSS in-band authenticated position determination." This invention offers a system and method for verifying the authenticity of reported positions of GNSS receivers, such as aircraft equipped with GPS devices. It includes an in-band verification capability for GNSS positions by utilizing designated authentication support satellites that transmit corrupted ephemeris data.
Career Highlights
Ryan Haoyun Wu is currently employed at Saab Sensis Corporation, where he continues to innovate in the field of sensor technology and GNSS systems. His work has been instrumental in advancing the capabilities of these technologies.
Collaborations
Ryan has collaborated with notable colleagues, including Elyahu Perl and Kevin Lefebvre, contributing to various projects and innovations within his field.
Conclusion
Ryan Haoyun Wu's contributions to sensor systems and GNSS technology demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex technological challenges and a drive to enhance the accuracy of location determination systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile