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  • 个人信息
    黄天耀

    Huang TianYao

    系      所：
    |物联网与电子工程系|
    职      称：
    教授  
    职      务：
    办公地点：
    方兴大厦518
    办公电话：
    电子邮箱：
    huangtianyao@ustb.edu.cn
    本 科 课 程：
    员工课程：
    科 研 方 向：
    雷达抗干扰 信号处理 通感一体化
    学术与社会兼职：
  • 简   历

     于2009年、2014年，分别获得哈尔滨工业大学学士学位、清华大学博士学位。2014年加入中航工业集团607所（北京研究部），担任工程师。2017年加入清华大学电子系，担任助理研究员。2023年起加入kaiyun体育登录网页入口，担任教授。2022年，获得国家某领域青年托举人才工程项目支持。

    围绕国家重大需求，从事智能目标探测等研究。解决了频率捷变雷达杂波抑制与目标速度测量的难题，突破了“脉间频率捷变与相参处理不兼容”的经典论断。推导了捷变相参雷达重建目标的理论性能边界，从而明确了雷达系统的设计准则与适用条件。
    主持了某国家专项项目多项、国家自然科学基金面上及青年基金项目；被授权国防或发明专利10余项，在IEEE Signal Processing Magazine、IEEE Trans. on Signal Processing等信号处理领域知名SCI期刊上发表30余篇论文；担任知名学术期刊客座编辑。积极科研成果转化，助力国家重点行业。
  • 代表性论文

     [1] Y. Su, G. Zhang, T. Huang, Y. Liu, and X. Wang, “Direction Finding in Partly Calibrated Arrays Using Sparse Bayesian Learning,” in 2023 IEEE Radar Conference (RadarConf23), 2023, pp. 01–06.

    [2] G. Zhang, T. Huang, C. Chen, Y. Liu, X. Wang, and Y. C. Eldar, “Decentralized high‐resolution direction finding in partly calibrated arrays,” Electron. Lett., vol. 59, no. 4, Feb. 2023.
    [3] R. Guo, T. Huang, M. Li, H. Zhang, and Y. C. Eldar, “Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods,” IEEE Signal Process. Mag., vol. 40, no. 2, pp. 18–31, Mar. 2023.
    [4] G. Zhang, T. Huang, Y. Liu, X. Wang, and Y. C. Eldar, “Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture,” IEEE Trans. Aerosp. Electron. Syst., pp. 1–14, 2023.
    [5] G. Zhang, H. Liu, W. Dai, T. Huang, Y. Liu, and X. Wang, “Passive Joint Emitter Localization with Sensor Self-Calibration,” Remote Sens., vol. 15, no. 3, p. 671, Jan. 2023.
    [6] R. Fu, T. Huang, L. Wang, and Y. Liu, “Block‐sparse recovery network for two‐dimensional harmonic retrieval,” Electron. Lett., vol. 58, no. 6, pp. 249–251, Mar. 2022.
    [7] X. Liu, T. Huang, Y. Liu, and Y. C. Eldar, “Transmit Beamforming with Fixed Covariance for Integrated MIMO Radar and Multiuser Communications,” in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 8732–8736.
    [8] X. Liu, T. Huang, and Y. Liu, “Transmit Design for Joint MIMO Radar and Multiuser Communications with Transmit Covariance Constraint,” IEEE J. Sel. Areas Commun., vol. 40, no. 6, pp. 1932–1950, Jun. 2022.
    [9] R. Xi, C. Zheng, T. Huang, L. Wang, and Y. Liu, “Joint Range and Angle Estimation for Wideband Forward-Looking Imaging Radar,” IEEE Sens. J., vol. 22, no. 1, pp. 446–460, Jan. 2022. 
    [10] D. Ma et al., “A Hardware Prototype for Joint Radar-Communication System Using Spatial Modulation,” in 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, pp. 634–639.
    [11] R. Xi, Y. Liu, T. Huang, L. Wang, and D. Ma, “A Prototype for Wideband Forward-looking Imaging Radar in W-band,” in 2021 CIE International Conference on Radar (Radar), 2021, pp. 2062–2065.
    [12] X. Liu, T. Huang, Y. Liu, and J. Zhou, “Achievable Sum-Rate Capacity Optimization for Joint MIMO Multiuser Communications and Radar,” in 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021, pp. 466–470.
    [13] X. Liu, T. Huang, Y. Liu, and J. Zhou, “Constant Modulus Waveform Design for Joint Multiuser MIMO Communication and MIMO Radar,” in 2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2021, pp. 1–5.
    [14] H. Ruan, Y. Liu, T. Huang, and X. Wang, “Designing the waveform bandwidth and time duration of radar oriented to collision warning performance for better resource efficiency,” Digit. Signal Process., vol. 118, p. 103204, Nov. 2021.
    [15] D. Ma, N. Shlezinger, T. Huang, Y. Liu, and Y. C. Eldar, “Bit Constrained Communication Receivers In Joint Radar Communications Systems,” in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 8243–8247.
    [16] R. Fu, V. Monardo, T. Huang, and Y. Liu, “Deep unfolding network for block-sparse signal recovery,” in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2021, vol. 2021-June, pp. 2880–2884.
    [17] X. Wang, T. Huang, and Y. Liu, “Resource Allocation for Random Selection of Distributed Jammer Towards Multistatic Radar System,” IEEE Access, vol. 9, pp. 29048–29055, 2021.
    [18] Di. Ma, N. Shlezinger, T. Huang, Y. Liu, and Y. Eldar, “FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation,” IEEE J. Sel. Top. Signal Process., vol. 15, no. 6, pp. 1348–1364, Nov. 2021.
    [19] P. Liu, Y. Liu, T. Huang, Y. Lu, and X. Wang, “Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning,” IEEE Trans. Aerosp. Electron. Syst., vol. 57, no. 1, pp. 190–205, Feb. 2021.
    [20] X. Liu, D. Cohen, T. Huang, Y. Liu, and Y. Eldar, “Unambiguous Delay-Doppler Recovery From Random Phase Coded Pulses,” IEEE Trans. Signal Process., vol. 69, pp. 4991–5004, 2021.
    [21] R. Fu, Y. Liu, T. Huang, and Y. Eldar, “Structured LISTA for Multidimensional Harmonic Retrieval,” IEEE Trans. Signal Process., vol. 69, pp. 3459–3472, 2021
    [22] L. Wang, T. Huang, and Y. Liu, “Randomized Stepped Frequency Radars Exploiting Block Sparsity of Extended Targets: A Theoretical Analysis,” IEEE Trans. Signal Process., vol. 69, pp. 1378–1393, 2021.
    [23] Y. Li, T. Huang, X. Xu, Y. Liu, L. Wang, and Y. Eldar, “Phase Transitions in Frequency Agile Radar Using Compressed Sensing,” IEEE Trans. Signal Process., vol. 69, pp. 4801–4818, 2021.
    [24] D. Ma et al., “Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype,” IEEE Trans. Veh.Technol., vol. 70, no. 3, pp. 2283–2298, Mar. 2021.
    [25] X. Wang, H. Ruan, Y. Liu, and T. Huang, “A Random Antenna subset selection jamming method against multistatic radar system,” Signal Processing, vol. 186, p. 108126, Sep. 2021.
    [26] D. Ma, N. Shlezinger, T. Huang, Y. Liu, and Y. C. Eldar, “Automotive Dual-Function Radar Communications Systems: An Overview,” in 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2020, pp. 1–5.
    [27] D. Ma, T. Huang, N. Shlezinger, Y. Liu, X. Wang, and Y. C. Eldar, “A DFRC System Based on Multi-Carrier Agile FMCW MIMO Radar for Vehicular Applications,” in 2020 IEEE International Conference on Communications Workshops (ICC Workshops), 2020, pp. 1–7.
    [28] X. Wang, Y. Liu, and T. Huang, “A Random Antenna Subset Selection Jamming Method against Multistatic Radar System,” in 2020 IEEE Radar Conference (RadarConf20), 2020, pp. 1–6.
    [29] H. Ruan, Y. Liu, T. Huang, and X. Wang, “Designing Radar Waveform Parameters Oriented to Performance of Collision Warning System,” in 2020 IEEE Radar Conference (RadarConf20), 2020, pp. 1–6.
    [30] Y. Li, T. Huang, X. Xu, Y. Liu, and Y. C. Eldar, “Phase Transition in Frequency Agile Radar Using Compressed Sensing,” in 2020 IEEE Radar Conference (RadarConf20), 2020, pp. 1–6.
    [31] R. Fu, S. Mulleti, T. Huang, Y. Liu, and Y. C. Eldar, “Hardware prototype demonstration of a cognitive radar with sparse array antennas,” Electron. Lett., vol. 56, no. 22, pp. 1210–1212, Oct. 2020.
    [32] T. Huang, N. Shlezinger, X. Xu, Y. Liu, and Y. C. Eldar, “Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 5080–8084.
    [33] T. Huang, N. Shlezinger, X. Xu, D. Ma, Y. Liu, and Y. C. Eldar, “Theoretical Analysis of Multi-Carrier Agile Phased Array Radar,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 4702–4706.
    [34] S. Na, T. Huang, Y. Liu, and X. Wang, “Track-Before-Detect for Sub-Nyquist Radar,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 6029–6033.
    [35] D. Ma, N. Shlezinger, T. Huang, Y. Liu, and Y. C. Eldar, “Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies,” IEEE Signal Process. Mag., vol. 37, no. 4, pp. 85–97, Jul. 2020.
    [36] T. Huang, N. Shlezinger, X. Xu, D. Ma, Y. Liu, and Y. C. Eldar, “Multi-Carrier Agile Phased Array Radar,” IEEE Trans. Signal Process., vol. 68, pp. 5706–5721, 2020.
    [37] T. Huang, N. Shlezinger, X. Xu, Y. Liu, and Y. C. Eldar, “MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation,” IEEE Trans. Signal Process., vol. 68, pp. 3423–3438, 2020.
    [38] X. Liu, T. Huang, N. Shlezinger, Y. Liu, J. Zhou, and Y. C. Eldar, “Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar,” IEEE Trans. Signal Process., vol. 68, pp. 3929–3944, 2020.
    [39] L. Xiao, Y. Liu, T. Huang, L. Wang, and X. Wang, “Detection of subspace distributed target in partial observation scenario with Rao test,” Signal Processing, vol. 166, p. 107238, Jan. 2020.
    [40] T. Huang, Y. Liu, X. Xu, Y. C. Eldar, and X. Wang, “Analysis of Frequency Agile Radar via Compressed Sensing,” IEEE Trans. Signal Process., vol. 66, no. 23, pp. 6228–6240, Dec. 2018.
    [41] L. Xiao, Y. Liu, T. Huang, X. Liu, and X. Wang, “Distributed Target Detection With Partial Observation,” IEEE Trans. Signal Process., vol. 66, no. 6, pp. 1551–1565, Mar. 2018.
    [42] T. Zhao and T. Huang, “Cramer-Rao Lower Bounds for the Joint Delay-Doppler Estimation of an Extended Target,” IEEE Trans. Signal Process., vol. 64, no. 6, pp. 1562–1573, Mar. 2016.
    [43] T. Huang and T. Zhao, “Low PMEPR OFDM Radar Waveform Design Using the Iterative Least Squares Algorithm,” IEEE Signal Process. Lett., vol. 22, no. 11, pp. 1975–1979, Nov. 2015.
    [44] T. Huang, Y. Liu, H. Meng, and X. Wang, “Adaptive matching pursuit with constrained total least squares,” EURASIP J. Adv. Signal Process., vol. 2012, no. 1, p. 76, 2012.
  • 科研业绩

     纵向项目：

    国家级项目“分布式*”（2022-2023）
    青年托举人才工程“共用波形设计”（2022-2024）
    国家自然科学基金面上项目“分布式移动阵列信号相参处理技术研究”，（2022-2025）
    国家自然科学基金青年项目“面向复杂电磁环境的多载波捷变阵列雷达研究”（2019-2021）
    横向项目： 
    承担了航天科工23所、清华－佛山研究院联合研究中心等多项技术开发项目。
  • 获得奖励/专利
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