Title :
Fusion Based 3D Tracking of Mobile Transmitters via Robust Set-Valued State Estimation with RSS Measurements
Author :
Pathirana, Pubudu N. ; Ekanayake, Samitha W. ; Savkin, Andrey V.
fDate :
5/1/2011 12:00:00 AM
Abstract :
This paper investigates the problem of location and velocity detection of a mobile agent using Received Signal Strength (RSS) measurements captured by geographically distributed seed nodes. With inherently nonlinear power measurements, we derive a powerful linear measurement scheme using an analytical measurement conversion technique which can readily be used with RSS measuring sensors. We also employ the concept of sensor fusion in conjunction for the case of redundant measurements to further enhance the estimation accuracy.
Keywords :
Kalman filters; mobile agents; mobile computing; nonlinear filters; radio tracking; radio transmitters; sensor fusion; state estimation; telecommunication computing; RSS measurements; RSS measuring sensors; analytical measurement conversion technique; estimation accuracy; extended Kalman filters; fusion based 3D tracking; geographically distributed seed nodes; location detection; mobile agent; mobile transmitters; nonlinear power measurements; powerful linear measurement scheme; received signal strength measurements; robust set-valued state estimation; sensor fusion; velocity detection; Equations; Estimation; Mathematical model; Mobile communication; Noise measurement; Robustness; Uncertainty; Kalman filtering; Linear robust filtering; RSS-based localization;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2011.040111.110166
