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 :
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