This inventor holds 2 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignees: Sirf Technology Holdings, Inc., Uti Limited Partnership. Active years: 2011-2013.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2011-2013
Title: Innovations by Inventor Xiaoji Niu
Introduction
Xiaoji Niu is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of MEMS-based inertial navigation systems. With a total of 2 patents, his work focuses on enhancing the performance and accuracy of navigation technologies.
Latest Patents
Xiaoji Niu's latest patents include innovative methods and systems for evaluating the performance of MEMS-based inertial navigation systems. These patents disclose systems and methods that utilize static data signals from MEMS inertial sensors to estimate sensor errors. By combining this data with reference kinematic signals obtained through field testing, the navigation performance of MEMS inertial sensors can be effectively evaluated. Another notable patent addresses the compensation for mounting misalignment of navigation devices. This method involves applying a high pass filter to the measured acceleration of a vehicle, which helps derive misalignment parameters for the navigation device.
Career Highlights
Throughout his career, Xiaoji Niu has worked with notable companies such as Sirf Technology Holdings, Inc. and Uti Limited Partnership. His experience in these organizations has contributed to his expertise in navigation technologies and sensor performance evaluation.
Collaborations
Xiaoji Niu has collaborated with talented individuals in his field, including Shaowei Han and Changlin Ma. These collaborations have likely fostered innovation and advancements in their shared areas of expertise.
Conclusion
Xiaoji Niu's contributions to the field of MEMS-based inertial navigation systems demonstrate his commitment to innovation and technology advancement. His patents reflect a deep understanding of sensor performance and navigation accuracy, making him a valuable figure in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

