Radio channel fingerprint model based on entropy weight method

Rugui Yao, Yan Gao, Juan Xu

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Different radio channels have various characteristics, which is analogous to human fingerprint, and the difference between the characteristics is defined as radio channel fingerprint. In this paper, we construct a quantitative radio channel fingerprint model based on the entropy weight method. With this model, five indicators, including time delay spread, coherence bandwidth, Doppler spread, fading threshold, and level variance, are selected to characterize the channel fingerprint and generate the evaluation matrix. Then we apply entropy weight method to find the reasonable weights for the five indicators, and thus achieve quantitative radio channel fingerprint model. Finally, the proposed fingerprint model is used to correctly realize scene recognition with the practical measured data provided by Huawei Corporation. This success validates the effectiveness and correctness of the proposed model.

源语言英语
主期刊名WOCC 2016 - 25th Wireless and Optical Communication Conference, Jointly held with Photonics Forum of Chiao-Tung Universities
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781467399586
DOI
出版状态已出版 - 7 7月 2016
活动25th Wireless and Optical Communication Conference, WOCC 2016 - Chengdu, 中国
期限: 21 5月 201623 5月 2016

出版系列

姓名WOCC 2016 - 25th Wireless and Optical Communication Conference, Jointly held with Photonics Forum of Chiao-Tung Universities

会议

会议25th Wireless and Optical Communication Conference, WOCC 2016
国家/地区中国
Chengdu
时期21/05/1623/05/16

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