Free space optical communication has been applied in many scenarios because of its security, low cost and high rates. In such scenarios, a tracking system is necessary to ensure an acceptable signal power. Free space optical links were considered unable to support optical mobile communication when nodes are randomly moving at a high speed because existing tracking schemes fail to track the nodes accurately and rapidly. In this paper, we propose a novel tracking system exploiting multiple beacon laser sources. At the receiver, each beacon laser's power is measured to estimate the orientation of the target. Unlike existing schemes which drive servo motors multiple times based on consecutive measurements and feedback, our scheme can directly estimate the next optimal targeting shift for the servo motors based on a single measurement, allowing the tracking system to converge much faster. Closed-form outage probability expression is derived for the optical mobile communication system with ideal tracking, where pointing error and moving statistics are considered. To maintain sufficient average power and reduce the outage probability, the recommended size of a source spot is expressed in closed form as a function of the target's statistics of random moving, providing insights to the system design.
CKM-Based Predictive Beamforming for Energy-Efficient Mobile Tracking in ISCAP System
School of Electrical Engineering, the Iran University of Science and Technology (IUST)（伊朗科技大学电气工程学院）；Department of Electrical Engineering Technical University of Darmstadt（达姆施塔特工业大学电气工程系）
Fast Reconstruction of Motion-Corrupted Data with Mobile-GRAPPA: Motion and dB0 Inhomogeneity Correction Leveraging Efficient GRAPPA
Department of Electrical Engineering, Stanford University（斯坦福大学电气工程系）；Department of Radiology, Stanford University（斯坦福大学放射学系）；Siemens Medical Solutions USA, Inc.（西门子医疗解决方案美国公司）
DoDTrack: Indoor Mobile Devices Tracking via Difference-of-Doppler
College of Semiconductors, Southern University of Science and Technology（南方科技大学半导体学院）；Department of Electronic and Electrical Engineering, Southern University of Science and Technology（南方科技大学电子电气工程系）；The Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）未来网络智能研究院）
Integrated Sensing, Communication, and Control for UAV-Assisted Mobile Target Tracking
College of Information Science and Electronic Engineering, Zhejiang University（浙江大学信息与电子工程学院）；Zhejiang Provincial Key Laboratory of Multi-Modal Communication Networks and Intelligent Information Processing（浙江省多模通信网络与智能信息处理重点实验室）
Neural Tracking of Sustained Attention, Attention Switching, and Natural Conversation in Audiovisual Environments using Mobile EEG
Dept. of Electrical Engineering, Linköping University（电子工程系，利厄普堡大学）；Centre for Mathematical Sciences, Lund University（数学科学中心，卢德大学）；Eriksholm Research Centre, Oticon A/S（埃里克霍姆研究中心，Oticon A/S）
