MSc Shengzhi Xu

PhD student
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics

PhD thesis (Apr 2020): Joint Parameters Estimation using FMCW UWB Waveform
Promotor: Alexander Yarovoy

Expertise: ground penetrating radar(GPR), array signal processing and Ultra-Wideband (UWB) imaging, MIMO radars

Themes: Distributed sensor systems, Radar for Remote Sensing and Targets Characterization, Radar technology


Shengzhi Xu was born in Hefei, China in 1991. He received his BSc degree in Information Countermeasure Technology in 2013 from Nanjing University of Science and Technology and MSc degree in Information and Communication Engineering in 2015 from National University of Defence Technology. In October 2015, he joined the Microwave Sensing, Signals and Systems group at TU Delft and started to work towards his PhD. His research interests are ground penetrating radar(GPR), array signal processing and Ultra-Wideband (UWB) imaging.


  1. Motion-based Separation and Imaging of Closely-Spaced Extended Targets
    Shengzhi Xu; Alexander Yarovoy;
    IEEE Sensors Journal,
    2020. DOI: 10.1109/JSEN.2020.3004909

  2. Joint Doppler and DOA estimation using (Ultra-)Wideband FMCW signals
    Shengzhi Xu; Bert Jan Kooij; Alexander Yarovoy;
    Signal Processing,
    Volume 168, pp. 107259, 2020. DOI:
    Keywords: ... Ultra-Wideband (UWB), Direction-of-Arrival (DOA), Doppler, 2 Dimensional multiple signal classification (2D MUSIC), Lanczos algorithm, Rayleigh–Ritz step.

    Abstract: ... The joint Doppler and Direction-of-Arrival (DOA) estimation of moving targets using an (Ultra-)Wideband (UWB) frequency modulated continuous-wave (FMCW) antenna array radar is investigated. Besides the well-known range migration problem, another concern for wideband signals is the DOA estimation problem. For the first time, both problems are considered in this paper simultaneously, where the wideband DOA is transformed into a second-order coupling system similar to the range migration problem by using the property of the FMCW signal. A novel embedded compensation approach to eliminate the coupling terms caused by range migration and wideband DOA is proposed and 2D multiple signal classification (2D MUSIC) algorithm is subsequently applied with dynamic noise subspace to joint estimation of Doppler and DOA. Further, to reduce the computational load caused by multiple eigendecompositions of large matrices, efficient implementation methods are proposed and their performance in speed, accuracy and robustness is compared. The performance of the proposed methods is validated by the numerical simulations and is compared with Keystone MUSIC. Finally, it is shown that for a small number of targets, the Rayleigh-Ritz is the most efficient approach among them.


  3. Joint Parameters Estimation using FMCW UWB Waveform
    Shengzhi Xu;
    PhD thesis, Delft University of Technology, April 2020. DOI: 10.4233/uuid:f9ce79b1-7890-41b4-850b-134dcfbef52e

  4. Super Resolution DOA for FMCW Automotive Radar Imaging
    Shengzhi {Xu}; Jianping {Wang}; Alexander {Yarovoy};
    In 2018 IEEE Conference on Antenna Measurements Applications (CAMA),
    pp. 1-4, Sep. 2018. DOI: 10.1109/CAMA.2018.8530609
    Keywords: ... array signal processing;CW radar;direction-of-arrival estimation;FM radar;image resolution;radar imaging;road vehicle radar;ultra wideband radar;FMCW automotive radar imaging;ultra-wideband automotive radar;cross-range resolution;automotive radar imaging;superresolution DOA;superresolution algorithm;beamforming algorithms;UWB frequency modulated continuous wave automotive radar;Multiple signal classification;Radar imaging;Imaging;Image resolution;MIMO communication;Automobiles.

BibTeX support

Last updated: 13 Jul 2020

Shengzhi Xu