A shadowing loss compensation method for hybrid RSS-based indoor localization

Zhenzhen Zhang, Qing Nie, Heng Liu, Zhenghuan Wang, Shengxin Xu, Shuo Chai

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Received signal strength (RSS) based localization schemes can be categorized as device-based localization (DBL) and device-free localization (DFL) in terms of the target to be located. DBL transforms RSS measurements of anchor-tag links to ranges and then obtains the target's position through trilateration. DFL infers an attenuation image from the target's body shadowing and regards the position with maximum attenuation as estimation. Existing hybrid method combining these two methods is able to improve the localization performance. However, the impact of the target's body shadowing loss on the anchor-tag links is not taken into consideration, worsening the localization accuracy of the DBL and hybrid method. In this paper, a new method is proposed to compensate the body shadowing loss by the exponential model on the basis of DFL result and the target's orientation. Experimental results validate that the compensation is beneficial and the proposed localization method is more reliable. Localization accuracy of the modified DBL is improved by 20% compared with the conventional DBL and the proposed hybrid localization method is 10% better than the conventional hybrid method.

源语言英语
主期刊名Proceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017
编辑Ying Dai, Shaozi Li, Yun Cheng
出版商Institute of Electrical and Electronics Engineers Inc.
1381-1385
页数5
ISBN(电子版)9781538630136
DOI
出版状态已出版 - 14 11月 2017
活动4th International Conference on Information Science and Control Engineering, ICISCE 2017 - Changsha, Hunan, 中国
期限: 21 7月 201723 7月 2017

出版系列

姓名Proceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017

会议

会议4th International Conference on Information Science and Control Engineering, ICISCE 2017
国家/地区中国
Changsha, Hunan
时期21/07/1723/07/17

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