Nuzzer: A Large-Scale Device-Free Passive Localization System for Wireless Environments
Moustafa Seifeldin, Moustafa Youssef

TL;DR
Nuzzer is a large-scale, device-free passive localization system that uses existing wireless networks and probabilistic techniques to accurately locate entities within 1500 square meters with less than 2 meters median error.
Contribution
This paper introduces Nuzzer, a novel large-scale DfP localization system that leverages existing Wi-Fi infrastructure without additional hardware, suitable for real environments.
Findings
Achieves less than 2 meters median localization error
Operates effectively in multipath-rich environments
Uses only two monitoring laptops and three access points
Abstract
The widespread usage of wireless local area networks and mobile devices has fostered the interest in localization systems for wireless environments. The majority of research in the context of wireless-based localization systems has focused on device-based active localization, in which a device is attached to tracked entities. Recently, device-free passive localization (DfP) has been proposed where the tracked entity is neither required to carry devices nor participate actively in the localization process. DfP systems are based on the fact that RF signals are affected by the presence of people and objects in the environment. The DfP concept enables a wide range of applications including intrusion detection and tracking, border protection, and smart buildings automation. Previous studies have focused on small areas with direct line of sight and/or controlled environments. In this paper,…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Underwater Vehicles and Communication Systems · Speech and Audio Processing
