Recent Advancements in Indoor Positioning and Localization

Abstract

The current era celebrates the rise of mobile devices, most of which are mobile phones [...]

Energy-Constrained Target Localization Scheme for Wireless Sensor Networks Using Radial Basis Function Neural Network

“…where A, B, and H are the state transition matrix, control input transition matrix, and RSSI input vector transition matrix, respectively (see equation ( 9)). The values of A and B matrices in equation (7) ,…”

“…Obviously, the localization system needs some advanced signal processing technique. The target localization solutions can be classified into range-based techniques and rangefree techniques, each of with its pros and cons [7]. If the localization technique involves range calculation, it is termed as range-based technique, while the localization scheme that does not involve range calculation is called as range-free technique.…”

Performance Enhancement of Wi-Fi Fingerprinting-based Indoor Positioning using Truncated Singular Value Decomposition and LSTM Model

“…Indoor positioning has attracted significant interest [1,2,3,4] due to its potential applications for various Location-based Service (LSB) in rescue operations, military, medical care, civil activities, etc. While satellite based positioning systems have successfully applied in many outdoor applications, the satellite signal is rarely available inside buildings.…”

“…Various indoor positioning approaches have been proposed utilizing different types of signals including Wi-Fi, Bluetooth, visible light, acoustic, etc. and their combination [3,5]. Among them, many approaches utilize Received Signal Strength Indicator (RSSI) from Wi-Fi Access Points (APs) due to widespread deployment of WLANs and Wi-Fi equipped devices [6].…”

“…These approaches also often require some prior knowledge of the infrastructure such as AP locations and additional devices. On the other hand, Wi-Fi RSSI fingerprinting based techniques do not require the mentioned conditions have been become the most promising approach [3,6,8,9], especially for civilian applications. This method operates in two phases, one for training, and the other for online localization/classification [8].…”