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李永哲



所在学科

信息与通信工程

研究方向

  • 多维度雷达/阵列信号处理:多维雷达-通信一体化、MIMO雷达、波形设计、空时自适应处理、杂波/干扰抑制;

  • 大规模优化理论与快速算法在信号处理中的应用

个人简历

2019/01至今: 任职于 北京理工大学 信息与电子学院

2013/03-2018/10:就读于 芬兰阿尔托大学 信号处理技术专业 博士(理学)

2010/09-2013/02:就读于 电子科技大学 信号与信息处理专业 博士(工学)

2008/09-2010/06:就读于 电子科技大学 信号与信息处理专业 硕士

2004/09-2008/06:就读于 电子科技大学 电子信息工程专业 本科

学术文章/著作

v 著作/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 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. 653657, 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, 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, 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. 19, 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, 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, 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. 110, Dec. 2013.

v 会议

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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.

[18] 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.最佳论文提名

[19] 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.

[20] 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.

[21] 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. 228233.

[22] 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.

[23] 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. 16.

[24] 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.

[25] 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.

[26] 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.

[27] 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.

[28] 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.

[29] 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.

[30] 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.

[31] 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.

[32] 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.

[33] 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.

[34] 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

[35] 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

[36] 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.

荣誉奖励

  • “师缘•北理”教师表彰大会教书育人奖,2022

  • 北京理工大学第十三届青年教师教学基本功比赛优秀教案奖,2022

  • 北京理工大学第十三届青年教师教学基本功比赛三等奖,2022

  • 北京市普通高校优秀本科毕业设计(论文)指导教师,2021

  • 阿尔托大学年度最佳学术论文奖(Aalto University Dissertation Award, 2019

  • Nokia Foundation Grant Award, 2016

  • IEEE Signal Processing Society Travel Grant Award, 2014

学术兼职及其他

  • IEEE信号处理协会青年专业委员会成员

  • 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

  • 北京理工大学学报英文版副编辑(Associate Editor

  • 组织者/共同主席(Organizer and co-chair: IEEE WCNC Workshop on Integrated Sensing (Radar) and Communications2021, 2022, 2023

  • CIE International Radar Conference程序委员会委员;专题(雷达-通信共存)会议主席,2021

  • 北京理工大学学报英文版2021年第一期客座编辑

  • IEEE TSP, TAES, JSTSP, SPL, TVT, WCL, TGRS, GRSL; IET RSN, SP; DSP; MSSP等期刊的审稿人

科研项目

  • 大规模多维信号波形集编码快速设计理论与关键方法研究,国家自然科学基金面上项目,主持,54万,2023.01–2026.12

  • 与无线通信共存的MIMO雷达波形设计方法研究,国家自然科学基金青年科学基金项目,主持,26万,2020.01–2022.12

  • 阵列天线处理技术研究,装备发展部天线与微波技术重点实验室基金项目,主持,30万,2019.11–2021.11

  • Transmit waveforms/codes and receive filter design with applications to radar and 5G communication,芬兰诺基亚基金会,主持,4万,2016.11–2017.10

  • 基于5G/B5G信号的城市低空无人机高精度感知技术研究,国家自然科学基金区域创新发展联合基金,参与,79.8万,2022.01–2025.12

教学

  • 研究生课程:《大规模优化理论方法》《信号处理理论前沿》

  • 本科生课程:《雷达系统导论》《Signal and Image Processing

招生

欢迎对信号处理学术研究感兴趣的同学联系,招收保送生;

招收有攻读硕士或博士学位意愿的优秀学生以及博士后。