Received-Signal-Strength Threshold Optimization Using Gaussian Processes

Emitter localization using received-strength-signal data

This paper considers a scenario in which signals from an emitter at an unknown location are received at a number of different collinear locations. The receiver can determine the received signal strength, but no other parameters of the signal. Postulating a log-normal transmission model with a constant but unknown path loss exponent and, also, an unknown transmit power and known noise variance, ...

Maritime Management Using Received Signal Strength Indicator

For location finding through Wireless Sensor Networks (WSNs), the RSSI is regularly assumed to have a linear signal strength by the whole of the logarithm of the communication distance. However, this is not true in certain cases because there are uncertainties in RSSI readings to obstacles, receiver interferences etc. In this complimentary, we specifically ask for the hand of a new RSSI-based c...

Gaussian Processes for Signal Strength-Based Location Estimation

Estimating the location of a mobile device or a robot from wireless signal strength has become an area of highly active research. The key problem in this context stems from the complexity of how signals propagate through space, especially in the presence of obstacles such as buildings, walls or people. In this paper we show how Gaussian processes can be used to generate a likelihood model for s...

Π8: Indoor Positioning System using WLAN Received Signal Strength Measurements

In this deliverable we provide the details of building an indoor positioning system using WLAN Received Signal Strength (RSS) fingerprints. The positioning system has been deployed at the premises of KIOS Research Center and follows a terminal-based-network-assisted architecture. In our case, users that carry a terminal (Tablet PC) are able to self-locate and positioning is performed entirely o...

Learning Indoor Localization using Radio Received Signal Strength