TY - GEN
T1 - Radio channel fingerprint model based on entropy weight method
AU - Yao, Rugui
AU - Gao, Yan
AU - Xu, Juan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/7
Y1 - 2016/7/7
N2 - 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.
AB - 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.
KW - entropy weight method
KW - indicator
KW - Radio channel fingerprint model
KW - scene recognition
KW - weight
UR - http://www.scopus.com/inward/record.url?scp=84981343971&partnerID=8YFLogxK
U2 - 10.1109/WOCC.2016.7506618
DO - 10.1109/WOCC.2016.7506618
M3 - 会议稿件
AN - SCOPUS:84981343971
T3 - WOCC 2016 - 25th Wireless and Optical Communication Conference, Jointly held with Photonics Forum of Chiao-Tung Universities
BT - WOCC 2016 - 25th Wireless and Optical Communication Conference, Jointly held with Photonics Forum of Chiao-Tung Universities
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th Wireless and Optical Communication Conference, WOCC 2016
Y2 - 21 May 2016 through 23 May 2016
ER -