DocumentCode
3253793
Title
Genetic algorithm based efficient positioning error compensation technique with low computational complexity
Author
Bae, Seung Chun ; Park, Jae Wook ; Lee, Won Cheol
Author_Institution
Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea
fYear
2009
fDate
23-26 Jan. 2009
Firstpage
1
Lastpage
6
Abstract
To alleviate positioning error using wireless ultra wideband (UWB) is primary concern, and it has been studied how to reduce the positioning error effectively. Thanks to many repeated transmissions of UWB signals, we can have a variety of selections to point out the most precise positioning result. Towards this, scanning method has been preferred to be used due to its simplicity. This exhaustive method firstly fixes the candidate position, and calculates the sum of distances from observed positions. However, it has tremendous number of computations, and the complexity is more serious if the size of two-dimensional range is the larger. To mitigate the large number of computations, this paper proposes the technique employing genetic algorithm. To exploit its superiority, simulations will be conducted to show the reduction of complexity, and the efficiency on positioning capability.
Keywords
genetic algorithms; ultra wideband communication; UWB signal transmission; genetic algorithm; positioning error compensation technique; scanning method; wireless ultra wideband; Cities and towns; Computational complexity; Computational modeling; Error analysis; Error compensation; Genetic algorithms; Genetic engineering; Medical services; Pervasive computing; Ultra wideband technology; Genetic algorithm; Positioning; Scanning method; UWB;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2009 - 2009 IEEE Region 10 Conference
Conference_Location
Singapore
Print_ISBN
978-1-4244-4546-2
Electronic_ISBN
978-1-4244-4547-9
Type
conf
DOI
10.1109/TENCON.2009.5395935
Filename
5395935
Link To Document