Title :
Received signal strength gradient estimation for mobile networks
Author :
Yu, Paul L. ; Sadler, Brian M.
Author_Institution :
US Army Res. Lab., Adelphi, MD, USA
fDate :
Oct. 31 2010-Nov. 3 2010
Abstract :
This paper considers the question: As a receiver moves along a trajectory, is its received signal strength (RSS) increasing or decreasing? This is an important question for mobile receivers to answer in order to maintain or improve connectivity within the network. When signal strength maps are unavailable a priori, a receiver decides the answer based on its observations. We derive the maximum likelihood estimate (MLE) of signal strength at a particular location in Rayleigh/Rician fading and additive Gaussian noise. We estimate the slope of the gradient by making RSS estimates at multiple locations. By making estimates of the MLE variance, we can derive confidence in the gradient, which can be used to decide future movements.
Keywords :
fading channels; maximum likelihood estimation; mobile ad hoc networks; regression analysis; Rayleigh/Rician fading; additive Gaussian noise; maximum likelihood estimate; mobile networks; mobile receivers; received signal strength gradient estimation; Approximation methods; Fading; Maximum likelihood estimation; Receivers; Rician channels; Signal to noise ratio;
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-8178-1
DOI :
10.1109/MILCOM.2010.5680357