Multilateration station location study based on genetic algorithm

Bo Li; Xuejun Zhang; Shuang Zhao

doi:10.1109/ISCID.2010.23

Multilateration station location study based on genetic algorithm

Bo Li^*
, Xuejun Zhang
, Shuang Zhao

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University
Beijing Aerospace Automatic Control Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Multilateration requires to achieve maximum coverage area at the condition of meeting positioning precision. The station location is directly related to positioning accuracy and coverage area. This paper applies GA(genetic algorithm) to multilateration station location, and quantifies coverage area into the fitness function. This method effectively increases coverage area under the condition of meeting the positioning accuracy, compared with the results of the traditional ones. Simulation results show the effectiveness of GA.

Original language	English
Title of host publication	Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010
Publisher	IEEE Computer Society
Pages	60-63
Number of pages	4
ISBN (Print)	9780769541983
DOIs	https://doi.org/10.1109/ISCID.2010.23
State	Published - 2010
Event	2010 International Symposium on Computational Intelligence and Design, ISCID 2010 - Hangzhou, China Duration: 29 Oct 2010 → 31 Oct 2010

Publication series

Name	Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010
Volume	1

Conference

Conference	2010 International Symposium on Computational Intelligence and Design, ISCID 2010
Country/Territory	China
City	Hangzhou
Period	29/10/10 → 31/10/10

Keywords

GA
GDOP
Multilateration

Access to Document

10.1109/ISCID.2010.23

Cite this

Li, B., Zhang, X., & Zhao, S. (2010). Multilateration station location study based on genetic algorithm. In Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010 (pp. 60-63). Article 5692663 (Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ISCID.2010.23

@inproceedings{c0844dc15e674c949a276c9edeac5433,

title = "Multilateration station location study based on genetic algorithm",

abstract = "Multilateration requires to achieve maximum coverage area at the condition of meeting positioning precision. The station location is directly related to positioning accuracy and coverage area. This paper applies GA(genetic algorithm) to multilateration station location, and quantifies coverage area into the fitness function. This method effectively increases coverage area under the condition of meeting the positioning accuracy, compared with the results of the traditional ones. Simulation results show the effectiveness of GA.",

keywords = "GA, GDOP, Multilateration",

author = "Bo Li and Xuejun Zhang and Shuang Zhao",

year = "2010",

doi = "10.1109/ISCID.2010.23",

language = "英语",

isbn = "9780769541983",

series = "Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010",

publisher = "IEEE Computer Society",

pages = "60--63",

booktitle = "Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010",

address = "美国",

note = "2010 International Symposium on Computational Intelligence and Design, ISCID 2010 ; Conference date: 29-10-2010 Through 31-10-2010",

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Li, B, Zhang, X & Zhao, S 2010, Multilateration station location study based on genetic algorithm. in Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010., 5692663, Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010, vol. 1, IEEE Computer Society, pp. 60-63, 2010 International Symposium on Computational Intelligence and Design, ISCID 2010, Hangzhou, China, 29/10/10. https://doi.org/10.1109/ISCID.2010.23

Multilateration station location study based on genetic algorithm. / Li, Bo; Zhang, Xuejun; Zhao, Shuang.
Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010. IEEE Computer Society, 2010. p. 60-63 5692663 (Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Multilateration requires to achieve maximum coverage area at the condition of meeting positioning precision. The station location is directly related to positioning accuracy and coverage area. This paper applies GA(genetic algorithm) to multilateration station location, and quantifies coverage area into the fitness function. This method effectively increases coverage area under the condition of meeting the positioning accuracy, compared with the results of the traditional ones. Simulation results show the effectiveness of GA.

KW - GA

KW - GDOP

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DO - 10.1109/ISCID.2010.23

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ER -

Multilateration station location study based on genetic algorithm

Abstract

Publication series

Conference

Keywords

Access to Document

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