Machine learning based indoor localization using Wi-Fi RSSI fingerprints: An overview
In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …
expected to increase, thereby making their location information more important. Based on …
[HTML][HTML] Factor graph based navigation and positioning for control system design: A review
WU **wei, X Bing, WU Cihang, GUO Yiming… - Chinese Journal of …, 2022 - Elsevier
Navigation and positioning is an important and challenging problem in many control
engineering applications. It provides feedback information to design controllers for systems …
engineering applications. It provides feedback information to design controllers for systems …
Cooperative localization in wireless sensor networks with AOA measurements
This paper researches the cooperative localization in wireless sensor networks (WSNs) with-
periodic angle-of-arrival (AOA) measurements. Two types of localizers are developed from …
periodic angle-of-arrival (AOA) measurements. Two types of localizers are developed from …
Indoor localization based on factor graphs: A unified framework
L Yang, N Wu, B Li, W Yuan… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Indoor localization is of pivotal significance for a wide variety of services in the context of the
Internet of Things (IoT). Both ranging-based and fingerprint-based localization techniques …
Internet of Things (IoT). Both ranging-based and fingerprint-based localization techniques …
Machine learning assists IoT localization: a review of current challenges and future trends
The widespread use of the internet and the exponential growth in small hardware diversity
enable the development of Internet of things (IoT)-based localization systems. We review …
enable the development of Internet of things (IoT)-based localization systems. We review …
Mitigating sensor motion effect for AOA and AOA-TOA localizations in underwater environments
The motion of sensors during the measurement period, if not accounted for, can degrade
significantly the localization accuracy. This paper investigates the sensor motion effect for …
significantly the localization accuracy. This paper investigates the sensor motion effect for …
A message passing based iterative algorithm for robust TOA positioning in impulsive noise
In this contribution, we explore further possibilities for statistical robustification of the
traditional-space based time-of-arrival location estimator under impulsive noise conditions …
traditional-space based time-of-arrival location estimator under impulsive noise conditions …
Dynamic quantizer design for target tracking for wireless sensor network with imperfect channels
Wireless sensor networks (WSNs) have been demonstrated to enhance parameter
estimation performance for target tracking. In this paper, a prior information based quantizer …
estimation performance for target tracking. In this paper, a prior information based quantizer …
Towards a better indoor positioning system: A location estimation process using artificial neural networks based on a semi-interpolated database
Abstract The Wi-Fi-fingerprinting positioning method is used widely in indoor positioning
environments due to its simplicity and wide coverage. However, in the offline phase of the …
environments due to its simplicity and wide coverage. However, in the offline phase of the …
Distributed estimation framework for beyond 5G intelligent vehicular networks
Intelligent vehicular networks (IVNs) have drawn substantial interests in recent years due to
its great potential in enabling diverse applications in the fifth-generation (5G) and beyond …
its great potential in enabling diverse applications in the fifth-generation (5G) and beyond …