dr. K. Fang

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

PhD thesis (Mar 2010): Wireless Communication over Dispersive Channels
Promotor: Alle-Jan van der Veen, Geert Leus

Expertise: Underwater communication

Themes: Signal processing for communication

Biography

Kun Fang was a PhD student with prof. Geert Leus at the Circuits and Systems group, at the Faculty of Electrical Engineering, Mathematics and Computer Science of Delft University of Technology in Delft, The Netherlands.

Kun received the M.S degree from Swiss Federal Institute of Technology, Zurich (ETHZ), Switzerland in June 2005, the B.Eng degree from University of Science and Technology of China in July 2003.

His research interests are in signal processing for communications.

Publications

  1. Direction of Arrival Estimation of Wideband Sources Using Sparse Linear Arrays
    Wang, Feiyu; Tian, Zhi; Leus, G.; Fang, Jun;
    IEEE Transactions on Signal Processing,
    Volume 69, pp. 4444--4457, 2021. DOI: 10.1109/TSP.2021.3094718

  2. Wideband Direction of Arrival Estimation with Sparse Linear Arrays
    Feiyu Wang; Zhi Tian; Jun Fang; G. Leus;
    In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 4542-4546, 2020. DOI: 10.1109/ICASSP40776.2020.9053681
    document

  3. Space-Time Block Coding for Doubly-Selective Channels
    K. Fang; G. Leus;
    IEEE Tr. Signal Processing,
    Volume 58, Issue 3 part 2, pp. 1934-1940, March 2010.
    document

  4. Block Transmissions over Doubly-Selective Channels: Iterative Channel Estimation and Turbo Equalization
    Kun Fang; G. Leus; L. Rugini;
    EURASIP Journal on Advances in Signal Processing,
    Volume 2010, pp. 13 pages, 2010. Article ID 974652. DOI: 10.1155/2010/974652
    document

  5. Wireless Communication over Dispersive Channels
    Kun Fang;
    PhD thesis, TU Delft, Dept. EEMCS, March 2010. ISBN 978-94-6113-006-8.
    document

  6. Low-complexity frequency-domain turbo equalization for single-carrier transmissions over doubly-selective channels
    K. Fang; L. Rugini; G. Leus;
    In Proc. IEEE ICASSP,
    Taipei (Taiwan), IEEE, April 2009.
    document

  7. Enhanced turbo MMSE equalization for MIMO-OFDM over rapidly time-varying frequency-selective channel
    L. Rugini; P. Banelli; K. Fang; G. Leus;
    In Proc. IEEE Workshop Signal Process. Advances Wireless Commun. (SPAWC),
    Perugia (IT), IEEE, pp. 36-40, June 2009.
    document

  8. Space-Time Block Coding for Frequency-Selective and Time-Varying Channels
    K. Fang; G. Leus;
    In Proc. 43th Asilomar Conf. Signals, Systems, and Computers,
    Pacific Grove (CA), IEEE, pp. 625-629, November 2009.
    document

  9. Low-Complexity Block Turbo Equalization for OFDM Systems in Time-Varying Channels
    K. Fang; L. Rugini; G. Leus;
    IEEE Tr. Signal Processing,
    Volume 56, Issue 11, pp. 5555-5566, November 2008. ISSN: 1053-587X. DOI: 10.1109/TSP.2008.929129
    document

  10. Iterative channel estimation and turbo equalization for time-varying OFDM systems
    K. Fang; L. Rugini; G. Leus;
    In Proc. IEEE ICASSP,
    Las Vegas, IEEE, pp. 2909-2912, April 2008. ISBN: 1-4244-1484-9.
    document

  11. Low-complexity block turbo equalization for OFDM systems in time- and frequency-selective channels
    K. Fang; G. Leus;
    In Proc. 3rd Annual IEEE Benelux/DSP Valley Signal Processing Symposium,
    Antwerp (BE), IEEE, pp. 83-87, March 2007.
    document

  12. Low-complexity block turbo equalization for OFDM systems in time-varying channels
    K. Fang; G. Leus;
    In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP'07),
    Honolulu (HI), IEEE, pp. III.445-448, April 2007. ISBN 1-4244-0728-1. DOI: 10.1109/ICASSP.2007.366465
    document

  13. Alamouti space-time coded OFDM systems in time- and frequency selective channels
    K. Fang; G. Leus; L. Rugini;
    In Proc. IEEE Global Telecommunications Conference (Globecom),
    San Francisco (CA), pp. 1-5, December 2006.
    document

BibTeX support

Last updated: 13 Jul 2014

Kun Fang

Alumnus