Wireless positioning methods for mitigating the influence of environmental and terminal diversity

Two optimization algorithms respectively were proposed according to the traditional two methods based on ranging and fingerprint-based to mitigate or circumvents the influence of environmental parameters on the position-ing results and compared traditional benchmark algorithms and recent similar wor...

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Bibliographic Details
Main Authors: Jietai WANG, Youlian GUAN, Xiaoniu YANG, Zhenxing LUO, Jianbiao YU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2020-01-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020006/
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Summary:Two optimization algorithms respectively were proposed according to the traditional two methods based on ranging and fingerprint-based to mitigate or circumvents the influence of environmental parameters on the position-ing results and compared traditional benchmark algorithms and recent similar work through simulation and actual scene experiments.The experimental results show the effectiveness of the algorithms:compared with the traditional benchmark algorithms,the positioning accuracy is improved by about 70%,compared with the recent similar work,the positioning accuracy is also improved by about 20%,at the same time,the change of the environmental parame-ters has little impact on the stability of the proposed algorithm.
ISSN:1000-0801