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姓名：李永哲 职称：助理教授 导师类型：博导 团队名称：分数域感通控研究团队 邮箱：yongzhe.li@bit.edu.cn |
研究领域
主要研究领域为：多维雷达/阵列信号处理；感知/探测-通信一体化；人工智能与优化方法在信号处理中的应用；水声信号处理
教育经历
2014/10-2018/10：芬兰阿尔托大学 信号处理技术专业 博士
2010/09-2013/02：电子科技大学 信号与信息处理专业 博士
2008/09-2010/06：电子科技大学 信号与信息处理专业 硕博连读硕士
2004/09-2008/06：电子科技大学 电子信息工程专业 学士
工作经历
2019/01至今：北京理工大学 信息与电子学院 助理教授
2014/10-2018/12 芬兰阿尔托大学 博士研究员
2013/03-2014/02 芬兰阿尔托大学 访问学者
学术成果
- 论文成果
著作/期刊（IEEE TSP为国际信号处理顶级期刊）
[1] Y. Li, Advances and new opportunities in MIMO radar: Theoretical analysis and algorithms, Finland: Aalto University, 2018. [Available]: http://urn.fi/URN:ISBN:978-952-60-8241-7 （获阿尔托大学最佳论文奖）
[2] J. Ma, G. Li, R. Tao, and Y. Li, “Nonuniform MIMO Sampling and Reconstruction of Multiband Signals in the Fractional Fourier Domain,” IEEE Signal Processing Letters, vol. 30, pp. 653–657, May 2023.
[3] C. Gao, Y. Li, and R. Tao, “Fractional ambiguity function for the generalized wideband MIMO radar,” IEEE Transactions on Aerospace and Electronic Systems (TAES), vol. 58, no. 4, pp. 2880–2899, Aug. 2022.
[4] J. Ma, R. Tao, and Y. Li, “Spectrum analysis for multiband signals with nonuniform sub-Nyquist sampling in the fractional Fourier domain,” IEEE Transactions on Signal Processing (TSP), vol. 70, pp. 3632–3646, June 2022.
[5] X. Su, R. Tao and Y. Li, “Phase retrieval from multiple FRFT measurements based on nonconvex low-rank minimization,” Signal Processing, vol. 198, pp. 1–9, Sep. 2022.
[6] Y. Li, “MIMO radar waveform design: An overview,” invited paper, Journal of Beijing Institute of Technology, vol. 30, no. 1, pp. 44-59, Mar. 2021.
[7] J. Ma, R. Tao, Y. Li, and X. Kang, “Fractional spectrum analysis for nonuniform sampling in the presence of clock jitter and timing offset,” IEEE Transactions on Signal Processing (TSP), vol. 68, pp. 4148–4162, Jul. 2020.
[8] J. Ma, R. Tao, Y. Li, and X. Kang, “Fractional Power Spectrum and Fractional Correlation Estimations for Nonuniform Sampling,” IEEE Signal Processing Letters, vol. 27, pp. 930–934, May 2020.
[9] Y. Li and S. A. Vorobyov, “Fast algorithm for designing unimodular waveform(s) with good correlation properties,” IEEE Transactions on Signal Processing, vol. 66, no. 5, pp. 1197-1212, Mar. 2018.
[10] Y. Li, S. A. Vorobyov, and V. Koivunen, “Ambiguity function of the transmit beamspace-based MIMO radar,” IEEE Transactions on Signal Processing (TSP), vol. 63, no. 17, pp.4445-4457, Sep. 2015.
[11] H. Li*, Y. Li*, Z. He, “MIMO radar clutter mitigation based on joint beamforming and joint domain localized processing,” EURASIP Journal on Wireless Communications and Networking, pp. 1–10, Dec. 2013.
会议（ICASSP为国际信号处理顶级会议;EUSIPCO为欧洲信号处理旗舰会议）
[12] Z. Chen, Y. Li, and R. Tao, “DFT-spread-based OTFS waveform design with good peak-to-average power ratio for joint sensing and communications,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, Apr. 2025, pp. 1–5.
[13] C. Shi, Y. Li, and R. Tao, “Low-correlation OFDM waveform design with optimally coded sub-carriers for the joint sensing and communications,” accepted in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, Apr. 2025, pp. 1–5.
[14] X. Zhao, Y. Li, and R. Tao, “Design of multiple binary waveforms for the joint MIMO radar and communications,” accepted in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, Apr. 2025, pp. 1–5.
[15] X. Xu, Y. Li, R. Tao, and T. Shan, “Design of OFDM waveforms with subcarrier interleaving: To achieve good PMEPR and SNR performances for the joint radar and communications,” accepted in European Signal Processing Conference (EUSIPCO), France, Aug. 2024, pp. 2432–2436.
[16] X. Zhao, Y. Li, and R. Tao, “Efficient waveform design with good correlations and information embedding performance for the joint MIMO radar and communications,” in European Signal Processing Conference (EUSIPCO), Lyon, France, Aug. 2024, pp. 2402–2406.
[17] X. Zhao, Y. Li, and R. Tao, “Hybrid OFDM-LFM waveform design with good correlation properties via optimally allocating frequency carriers and chirp-rate polarities,” in European Signal Processing Conference (EUSIPCO), Lyon, France, 2024, pp. 2397–2401.
[18] C. Shi, Y. Li, and R. Tao, “Optimization on a generalized multi-order complex quadratic form with constant-modulus constraints,” in European Signal Processing Conference (EUSIPCO), Lyon, France, 2024, pp. 2202–2206.
[19] X. Xu, Y. Li, R. Tao, and T. Shan, “OFDM waveform design with good correlation level and peak-to-mean envelope power ratio for the joint MIMO radar and communications,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Mar. 2024, pp. 8776–8780.
[20] C. Shi, Y. Li, and R. Tao, “Fast algorithm design for the constant-envelope precoding in massive MIMO communications with interference exploitation,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Mar. 2024, pp. 8766–8770.
[21] Y. Zhen, C. Shi, Y. Li, and R. Tao, “Design of spatial-slow-time constant-modulus waveform transmission and receive adaptive filter for dual-function radar communications with reconfigurable intelligent surface,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Mar. 2024, pp. 8771–8775.
[22] X. Zhao, Y. Li, and R. Tao, “Multi-unimodular waveform design with low peak sidelobe level via direct phase optimizations,” in European Signal Processing Conference (EUSIPCO), Helsinki, Finland, Sep. 2023, pp. 1579–1583.
[23] X. Zhao, Y. Li, and R. Tao, “Efficient large-scale multi-unimodular waveform design with good correlation properties via direct phase optimizations,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Greece, Jun. 2023, pp. 1–5.
[24] Y. Li, C. Shi, and R. Tao, “Unimodular waveform design with low correlation levels: A fast algorithm development to support large-scale code lengths,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022, pp. 4983–4987.
[25] C. Shi, Y. Li, and R. Tao, “Spatial slow-time waveform and adaptive receive filter design for MIMO radar,” in IEEE Radar Conference (RadarConf), New York, USA, Mar. 2022, pp. 1–5.（获最佳论文提名奖）
[26] C. Shi, Y. Li, and R. Tao, “Design of spatial fast- and slow-time waveforms and receive filter for MIMO radar space-time adaptive processing,” in European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, Aug.–Sep. 2022, pp. 1816–1820.
[27] X. Zhao, Y. Li, and R. Tao, “Design of single unimodular waveform with good correlation level via phase optimizations,” in European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, Aug.–Sep. 2022, pp. 1896–1900.
[28] X. Wu, Y. Li, and R. Tao, “Strategy designs for the information embedding of joint MIMO radar and communications with subarrays,” in IEEE Wireless Communications and Networking Conference (WCNC), Austin, Tx, USA, May 2022, pp. 228–233.
[29] Y. Li, X. Wu, and R. Tao, “Waveform design for the joint MIMO radar and communications with low integrated sidelobe levels and accurate information embedding,” invited paper, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, Jun. 2021, pp. 8263–8267.
[30] X. Xu, Y. Li, and R. Tao, “Information embedding design for the joint MIMO radar and communications via FH code selection,” in IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China, Mar. 2021, pp. 1–6.
[31] X. Xu, Y. Li, and R. Tao, “Optimal power allocation for the joint radar and communications with OFDM waveform transmission,” in CIE International Conference on Radar (Radar), Haikou, China, Dec. 2021, pp. 2999–3003.
[32] X. Wu, Y. Li, and R. Tao, “Unimodular waveform design with precise spectrum control and good correlation properties,” in CIE International Conference on Radar (Radar), Haikou, China, Dec. 2021, pp. 3004–3008.
[33] C. Gao, Y. Li, and R. Tao, “Fractional wideband ambiguity function for MIMO radar,” in IEEE radar conference (RadarConf), Florence, Italy, 2020, pp. 1–5.
[34] Y. Li and R. Tao, “Waveform design for the radar-communications coexistence with good correlation properties,” invited paper, in IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, Jun. 2020, pp. 1–5.
[35] Y. Li and S. A. Vorobyov, “Joint space-(slow) time transmission with unimodular waveforms and receive adaptive filter design for radar,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada, Apr. 2018, pp. 3276-3280.
[36] Y. Li, and S. A. Vorobyov, “Efficient single/multiple unimodular waveform design with low weighted correlations for radar,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, Louisiana, USA, Mar. 2017, pp. 3226-3230.
[37] Y. Li, S. A. Vorobyov, and Z. He, “Design of multiple unimodular waveforms with low auto- and cross-correlations for radar via majorization-minimization,” invited paper, in European Signal Processing Conference (EUSIPCO2016), Budapest, Hungary, Aug. 29–Sep. 2, 2016, pp. 2235-2239.
[38] Y. Li, S. A. Vorobyov, and Z. He, “Terrain-scattered jammer suppression in MIMO radar using space-(fast) time adaptive processing,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, Mar. 2016, pp. 3026-3030.
[39] Y. Li, S. A. Vorobyov, and Z. He, “Joint hot and cold clutter mitigation in the transmit beamspace based MIMO radar,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015, pp. 2334-2338.
[40] Y. Li, S. A. Vorobyov, and A. Hassanien, “Robust beamforming for jammers suppression in MIMO radar,” in IEEE Radar Conference, Cincinnati, USA, May 2014, pp. 0629–0634.
[41] Y. Li, S. A. Vorobyov, and A. Hassanien, “MIMO radar capability on powerful jammers suppression,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014, pp. 5277–5281. （获IEEE信号处理协会Travel Grant奖）
[42] Y. Li, S. A. Vorobyov, and V. Koivunen, “Generalized ambiguity function for the MIMO radar with correlated waveforms,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014, pp. 5302–5306. （获IEEE信号处理协会Travel Grant奖）
Y. Li, S. A. Vorobyov, and A. Hassanien, “Robust beamforming for jammers suppression in MIMO radar,” invited paper, in 2014 IEEE Radar Conference., Cincinnati, USA, May 2014, pp. 0629–0634.
2. 研究项目
主持国家自然科学基金面上项目、青年基金、重点项目（子课题），国防重点实验室基金、JKW领域基金等纵向项目6项，企业合作项目1项；参与国家自然科学基金、JKW基础加强等5项。
教学工作
1.研究生教学：《大规模优化理论方法》（32学时）、《信号处理理论前沿》（8学时），每年秋季学期开课
2.本科生教学：《雷达信号处理》（64学时），每年春季学期开课；《Digital Signal and Image Processing》（63学时），每年秋季和春季学期均开课。
荣誉奖励
1.北京理工大学“师缘•北理”教师表彰大会教书育人奖（2022）；
2.北京理工大学青年教师教学基本功比赛优秀教案奖（2022）；
3.北京理工大学青年教师教学基本功比赛全英文教学三等奖（2022）；
4.北京市优秀本科毕业设计指导教师（2021）；
5.IEEE雷达会议最佳论文提名奖（2022）；
6.阿尔托大学最佳学位论文奖（2019）；
7.诺基亚基金会研究奖（2016）；
8.阿尔托基金会研究奖（2016）；
9.IEEE信号处理协会Travel Grant奖励（2014）。
社会兼职
1.国际无线电科学联盟中国委员会（URSI-CHINA）青年科学家工作委员会委员
2.北京理工大学学报英文版副编辑
3.IEEE信号处理协会青年专业委员会成员
4.IET雷达会议专题会议主席 （2025）
5.IEEE WCNC 国际会议专题会议共主席（2021，2022，2023）
6.CIE雷达会议专题会议主席、程序委员会委员（2021）