DocumentCode
1969885
Title
Channel capacity related power allocation for ultra-wide bandwidth sensor networks with application in object detection
Author
Alirezaei, Gholamreza
Author_Institution
Inst. for Theor. Inf. Technol., RWTH Aachen Univ., Aachen, Germany
fYear
2012
fDate
17-20 Sept. 2012
Firstpage
115
Lastpage
119
Abstract
This publication analyzes the power allocation problem for a distributed wireless sensor network which is based on ultra-wide bandwidth communication technology and is used to perform object detection. In the considered scenarios the presence or the absence of an object is observed by the sensors independently. Due to noisy communication channels, the interfered observations are fused into a reliable global decision in order to increase the overall detection probability. An approach based on information theory, that aims at maximization of channel capacity, is employed. It allows for analytically described allocation of total given power to the sensors and, thereby, optimizes the overall detection probability. Furthermore, we demonstrate the feasibility of object detection by using the introduced power allocation method in ultra-wide bandwidth signaling systems.
Keywords
channel capacity; information theory; ultra wideband communication; channel capacity maximization; channel capacity related power allocation; detection probability; distributed wireless sensor network; global decision; information theory; noisy communication channels; object detection; ultra-wide bandwidth communication technology; ultra-wide bandwidth sensor networks; ultra-wide bandwidth signaling systems; Data communication; Object detection; Radar detection; Resource management; Signal to noise ratio; Tin; Analytical power allocation; channel capacity; distributed target detection; impulse radio; information fusion; ultra-wide bandwidth signaling; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultra-Wideband (ICUWB), 2012 IEEE International Conference on
Conference_Location
Syracuse, NY
ISSN
2162-6588
Print_ISBN
978-1-4577-2031-4
Type
conf
DOI
10.1109/ICUWB.2012.6340424
Filename
6340424
Link To Document