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马永涛
- 教师拼音名称:Ma Yongtao
- 出生日期:1979-09-14
- 性别:男
- 职称:教授
- 所属院系:微电子学院
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· H. Fu, Yongtao Ma, Device-Free Multitarget Localization With Weighted Intersection Multidimensional Feature for Passive UHF RFID, IEEE Sensors Journal, vol. 22, no. 7, pp. 7300-7310, 1 April1, 2022.
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· X. Zhang, Yongtao Ma,A Training-Free Multipath Enhancement (TFME-RTI) Method for Device-Free Multi-Target Localization, IEEE Sensors Journal, vol. 22, no. 7, pp. 7399-7410, 1 April1, 2022, doi: 10.1109/JSEN.2022.3154591.
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· L. Zhao, Y. Ma and W. Meng,M-Shaped Folded-patch Antenna for On-Metal UHF RFID Tag Design, 2022 IEEE International Conference on RFID (RFID), 2022, pp. 81-86, doi: 10.1109/RFID54732.2022.9795970.
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· K. Huang, J. Zhang, Y. Chu and Y. Ma, RFID based Gait Speed Measurement using Doppler Shift, 2022 IEEE 12th International Conference on RFID Technology and Applications (RFID-TA), 2022, pp. 13-16.
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· Y. Chu, Y. Ma, K. Huang and Y. Fu, A Fast Method for 3D Localization in SAR RFID System, 2022 IEEE 12th International Conference on RFID Technology and Applications (RFID-TA), 2022, pp. 25-28.
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· Zhao, Y., Gao, Z., Ma, Y. et al. Pattern Matching Performance Analysis Based on Linear Models with Information Backscattered from RFID Tags. Int J Wireless Inf Networks 25, 72–78 (2018). https://doi.org/10.1007/s10776-017-0372-1
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· Shuai Zhang, Kaihua Liu, Yongtao Ma et. al., An Accurate Geometrical Multi-Target Device-Free Localization Method Using Light Sensors,IEEE SENSORS JOURNAL,VOL18,No18,pp:7619-7632,SEP 2018
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· Yongtao Ma, Linzhong Song, Yu Zhao, Kaihua Liu, A tight outer bound of the degrees of freedom for the MIMO interference channel with the delayed CSIT and partial local feedback, Journal of the Franklin Institute, Vol.352, no.1, pp291-310, Jan. 2015
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· Weiwei Liu, Yongtao Ma, A Novel Method to Select Minimum Neighbors in Cooperative Localization Network, INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS, Vol. 26, No.1, PP: 1-9, MAR 2019
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· Qideng Jiang, Yongtao Ma, Kaihua Liu, Zhi Dou, A Probabilistic Radio Map Construction Scheme for Crowdsourcing-Based Fingerprinting Localization, IEEE Sensors Journal, Vol. 16, no. 10, pp: 3764-3774, 2016