The growing commercial interest in indoor location-based services (ILBS) has spurred
recent development of many indoor positioning techniques. Due to the absence of Global …

Wireless local area networks (WLANs) have become a promising choice for indoor
positioning as the only existing and established infrastructure, to localize the mobile and …

Existing localization methods that intensively leverage the environment-specific received
signal strength (RSS) or channel state information (CSI) of wireless signals are rather …

Internet of Things (IoT) is a novel design paradigm, intended as a network of billions to
trillions of tiny sensors communicating with each other to offer innovative solutions to real …

Wi-Fi-based localization using received signal strength (RSS) with pedestrian dead
reckoning (PDR) algorithm is widely used to track pedestrians in indoor environments …

Wi-Fi and magnetic field fingerprinting have been a hot topic in indoor positioning
researches because of their ubiquity and location-related features. Wi-Fi signals can provide …

An enormous amount of research has been conducted in the area of positioning systems
and thus it calls for a detailed literature review of recent localization systems. This article …

Transfer learning algorithms (TLAs) are often used to solve the distribution discrepancy
issue in fingerprint-based indoor localization. However, existing TLAs cannot react well to …

Received signal strength (RSS) fingerprint-based indoor localization has received
increasing popularity over the past decades. However, it suffers from the high calibration …

In this paper, we introduce two indoor Wireless Local Area Network (WLAN) positioning
methods using augmented sparse recovery algorithms. These schemes render a sparse …