Ultrasonic-based Localization

Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination

-

B1 L3 R3119

High-accuracy indoor localization and tracking systems are essential for many modern applications and technologies. However, accurate location estimation of moving targets is challenging. This thesis addresses the challenges in indoor localization and tracking systems and proposes several solutions. A novel signal design, which we named Differential Zadoff-Chu, allows us to develop algorithms that accurately estimate the distances of static and moving targets even under random Doppler shifts. The results show that the proposed algorithms outperform the state-of-the-art in terms of both accuracy and complexity.

Saudi Summer Internship (SSI) Poster Competition Winners

1 min read ·
Rawan Al Ghamdi, Abdulwahab Felemban and Abdullah Zayat were interns this summer as part of the Saudi Summer Internship (SSI) Program. This is a program involving undergraduates from various universities in the Kingdom and this year hosted 43 students. Abdulwahab and Abdullah worked on enhancing ultrasonic indoor localization and in particular using machine learning to classify arriving signals between line-of-sight and multi-path. Abdulwahab and Abdullah won the second place in the poster competition that took place at the end of the SSI program. Rawan Al-Ghamdi was an intern this summer as

Mohammed Hussain AlSharif

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. Degree, Electrical and Computer Engineering ,King Abdullah University of Science and Technology, KAUST,

Fat-hy Omar Rajab

Master's Thesis Abstract The multi-agent robotic system has been proved to be more superior in undertaking functionalities, arduous or even impossible when performed by single agents. The increased efficiency in multi-agent systems is achieved by the execution of the task in a cooperative manner. But to achieve cooperation in multi-agent systems, a good localization system is an important prerequisite. Currently, most of the multi-agent systems rely on the use of the GPS to provide global positioning information which suffers great deterioration in performance in indoor applications, and also