个人简介

李喆,副研究员,硕士生导师,于2011年获得南京邮电大学学士学位,分别于2014年和2018年获东南大学硕士、博士学位,20162017年在国家留学基金委资助下赴英国帝国理工学院博士联合培养,2018年进入苏州大学电子信息学院工作,2020年起加入苏州大学电子信息学院博士后流动站。近年来以第一作者或通信作者在IEEE Transactions on Signal Processing, IEEE Transactions on Instrumentation and Measurement, IEEE Communications Letters, Signal Processing等国外核心刊物及ICASSP等会议上发表SCI/EI收录论文15篇,获ICASSP 2019教育创新奖,获授权发明专利5项,参与编写专著1部。目前为IEEE会员, 担任Frontiers in Signal Processing期刊编委,多次担任IEEE Signal Processing Magazine, IEEE Transactions on Signal Processing, IEEE Signal Processing Letters等信号处理权威期刊审稿人。

Research Interests

复数统计信号分析、估计与检测,及其在移动通信、物联网通信和图像处理中的应用

Publications

[1]Z. Li, W. Deng, Z. Zhu and D. P. Mandic, “A layer-wise distribution analysis of the WLMMSE-SIC MIMO receiver for rectilinear or quasi-rectilinear signals” Signal Process., In Press, 2021. (IF 5.028)

[2]Z. Li, R. Pu, Y. Xia, W. Pei, and D. P. Mandic, “A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals” IEEE Trans. Signal Process., In Press, 2021. (IF 4.384)

[3]Z. Li, “A total least squares enhanced smart DFT technique for frequency estimation of unbalanced three-phase power systems,” Inter. J. Elect. Power Energy Syst.,, vol. 128, pp. 106722, 2021. (IF 3.588)

[4]Z. Li, Y. Xia, W. Pei, and D. P. Mandic, “A cost-effective nonlinear self-interference canceller in full-duplex direct-conversion transceivers,” Signal Process., vol. 158, pp. 4–14, 2019. (IF 4.384)

[5]Z. Li, Y. Xia, W. Pei, K. Wang, and D. P. Mandic, “An augmented nonlinear LMS for digital self-interference cancellation in full-duplex direct-conversion transceivers,” IEEE Trans. Signal Process., vol. 66, no. 15, pp. 4065–4078, Aug. 2018. (IF 5.028)

[6]Z. Li, Y. Xia, W. Pei, K. Wang, Y. Huang, and D. P. Mandic, “Noncircular measurement and mitigation of I/Q imbalance for OFDM-based WLAN transmitters,” IEEE Trans. Instrum. Meas., vol. 66, no. 3, pp. 383–393, 2017. (IF 3.658)

[7] Z. Li, Y. Xia, Q. Wang, W. Pei, and J. Hao, “A novel four-point model based unit-norm constrained least squares method for single-tone frequency estimation,” IEICE Trans. Fundam., vol. E102-A, no. 2, pp. 404–414, 2019.

[8]W. Deng, Z. Li(*), Y. Xia, K. Wang, and W. Pei, “A widely linear MMSE anti-collision method for multi-antenna RFID readers,” IEEE Commun. Lett., vol. 23, no. 4, pp. 644–647, Apr. 2019. (IF 3.419)

[9]W. Deng, Y. Xia, Z. Li(*), R. Pu, and W. Pei, “A high-dimensional collided tag quantity estimation method for multi-antenna RFID systems,” IEEE Commun. Lett., vol. 25, no. 1, pp. 132-136, 2021. (IF 3.419)

[10]Y. Xia, S. Tao, Z. Li, M. Xiang, W. Pei, and D. P. Mandic, “Full mean square performance bounds on quaternion estimators for improper data,” IEEE Trans. Signal Process., vol. 67, no. 15, pp. 4093–4106, 2019. (IF 5.028)

[11]Z. Qing, J. Ni, Z. Li and J. Chen, “Selective partial-update augmented complex-valued LMS algorithm and its performance analysis,” Signal Process. In Press, 2021. (IF 4.384)

[12]N. Zhang, J. Ni, Jie Chen, and Z. Li, “Steady-State Mean-Square Error Performance Analysis of the Tensor LMS Algorithm,” IEEE Trans. Circuits Syst. II Express Briefs., vol. 68, no. 3, pp. 1043-1047, 2021. (IF 2.814)

[13]Z. Li, W. Deng, W. Pei, Y. Xia, C. Zhu, and D. P. Mandic, “SINR analysis of MIMO systems with widely linear MMSE receivers for the reception of real-valued constellations,” in Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2020, pp. 1–5.

[14]Z. Li, X. Chen, W. Deng, W. Pei, and Y. Xia, “Using RFID technology to introduce properties of LMS,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019, pp. 7873–7877.

[15]W. Deng, Z. Li, Y. Xia, K. Wang, and W. Pei, “A widely linear MMSE RFID receiver with multi-antenna for physical layer collision recovery,” in IEEE International Conference on RFID Technology & Application (RFID-TA), 2018, pp. 1–5.

[16]Z. Li, W. Pei, Y. Xia, K. Wang, and D. P. Mandic, “Widely linear CLMS based cancelation of nonlinear self-interference in full-duplex direct-conversion transeivers,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018, no. 1, pp. 4329–4333.

[17]Z. Li, W. Deng, W. Pei, Y. Xia, and D. P. Mandic, “Refreshing Digital Communications Curriculum with RFID Technology : A Participatory Approach,” in Proceedings of IEEE International Conference on Digital Signal Processing (DSP), 2018, pp. 1–5.

[18]Z. Li, Y. Xia, W. Pei, K. Wang, and D. P. Mandic, “A DFT Enhanced Complex LMS for Digital Adaptive Spur Cancellation,” in Proceedings of IEEE International Conference on Digital Signal Processing (DSP), 2017, no. 4, pp. 1–5.

Patents

[1] CN 111641438 B 一种超高频RFID标签信号数量的估计系统、方法和处理器可读介质,已授权

[2] CN 109412640 B 一种应用于全双工通信收发机的非线性数字自干扰消除装置及方法,已授权

[3] CN 108111186 B 一种零中频全双工收发机的数字自干扰消除方法,已授权

[4] CN 104717172 B 一种发射机中IQ不平衡的补偿方法和装置,已授权

[5] ZL201410086717.2 一种并行测试WIFI模块的方法,已授权

[6] ZL 201910042865.7一种超高频RFID标签信号的恢复方法,已受理

[7]US Patent 17437590 RFID Tag Quantity Estimation System, RFID Tag Quantity Estimation Method, and Processor-Readable Medium,已受理

Book Chapter

[1] Xia Y., Xiang M., Li Z., Mandic D.P. Echo state networks for multidimensional data: Exploiting noncircularity and widely linear models. Adaptive Learning Methods for Nonlinear System Modeling. Elsevier, 2018.

Research Funds

[1] 国家自然科学基金青年基金项目(61901291)— 面向全双工的新型多天线RFID读卡器的自干扰抵消关键技术研究(2020-2022

[2] 江苏省高等学校自然科学研究面上项目(19KJB510057)— 基于降维张量网络的深度学习方法研究及应用(2019-2021

[3] 中国博士后科学基金面上资助项目 (2020M671579)— 全双工多天线RFID系统的理论与技术研究(2020-2022




研究领域

基本信息

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李喆  

职称:   副教授

院部/部门:   电子信息学院

学历:   博士

学位:   研究生

毕业学校:   东南大学

毕业专业:   信息与通信工程

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电子邮箱:   lizhe@suda.edu.cn

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办公地点:   电子楼357

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