Manlius, NY, United States of America

Haoyun Wu

This inventor holds 2 USPTO granted patents. Top assignee: Sensis Corporation. Active years: 2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haoyun Wu. Retrieved from https://idiyas.com/inventor/haoyun-wu-dz15mta3

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 2

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2010

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2 patents (USPTO):Explore Patents

Title: Haoyun Wu: Innovator in Multilateration Technology

Introduction

Haoyun Wu is a notable inventor based in Manlius, NY (US), recognized for his contributions to multilateration technology. With a total of 2 patents to his name, Wu has made significant strides in the field of positioning systems.

Latest Patents

Wu's latest patents include a system and method for multilaterating the position of a target using mobile remote receiving units. This innovative method involves deploying a network of time-synchronized receiving units that communicate with a central processor. The process includes receiving a target signal at each unit, determining the time of arrival for the signal, and calculating position data for each unit at the time of signal reception. By utilizing the time of arrival and position data, the system can accurately determine the target's position through multilateration.

Career Highlights

Haoyun Wu is currently associated with Sensis Corporation, where he applies his expertise in developing advanced positioning technologies. His work has contributed to enhancing the accuracy and efficiency of location-based services.

Conclusion

Haoyun Wu stands out as an innovative inventor in the field of multilateration technology, with a focus on improving target positioning systems. His contributions continue to influence advancements in this critical area of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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