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Multilateration station location study based on genetic algorithm

  • Beihang University
  • Beijing Aerospace Automatic Control Institute

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings - 2010 International Symposium on Computational Intelligence and Design, ISCID 2010
出版商IEEE Computer Society
60-63
页数4
ISBN(印刷版)9780769541983
DOI
出版状态已出版 - 2010
活动2010 International Symposium on Computational Intelligence and Design, ISCID 2010 - Hangzhou, 中国
期限: 29 10月 201031 10月 2010

出版系列

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

会议

会议2010 International Symposium on Computational Intelligence and Design, ISCID 2010
国家/地区中国
Hangzhou
时期29/10/1031/10/10

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