Indoor location systems based on IEEE 802.11 b (WiFi) mobile devices often rely on the
received signal strength indicator to estimate the user position. Two key characteristics of …

Wireless indoor positioning systems have gained more popularity in recent years by taking
the advantage of already existing radio infrastructures, which saves extra deployment costs …

This paper presents adaptive algorithms for estimating the location of a mobile terminal (MT)
based on radio propagation modeling (RPM), Kalman filtering (KF), and radio-frequency …

This paper presents a novel method for indoor localization, developed with the main aim of
making it useful for real-world deployments. Many indoor localization methods exist, yet they …

An indoor positioning system based on Receive Signal Strength Indication (RSSI) from
wireless access equipment has become very popular in recent years. This system is very …

With the remarkable advances in wireless networking and pervasive computing, there have
been an increasing need to figure it into LBS (location-based services) applications. This …

The importance of localization task has drawn much attention to location estimation and
object tracking systems in wireless sensor networks. Many methods have been proposed to …

Target tracking is essential for localization and many other applications in Wireless Sensor
Networks (WSNs). Kalman filter is used to reduce measurement noise in target tracking. In …

This paper presents algorithms for calibrating and tracking the location of a mobile terminal
based on radio propagation modeling (RPM) and Kalman filtering for indoor wireless local …

This paper presents a new scheme for positioning and tracking mobile nodes based on
adaptive weighted interpolation and alpha-beta (alpha-beta) filtering in wireless sensor …