Vichet Duk

Mr Vichet Duk

Higher Degree by Research Candidate

Postgraduate Student

School of Electrical and Electronic Engineering

Faculty of Engineering, Computer and Mathematical Sciences

Mr. Vichet Duk received his B.E (Electronics and Communication) with Honours from the University of South Australia in 2010 and M. E (Electrical and Electronics) from the University of Adelaide in 2011. After having worked in the health care technology industry, he commenced his PhD research project on signal processing techniques for maritime radar in 2014. This work is funded by a scholarship from the Defence Science and Technology Organisation (DSTO).

Small target detection in the maritime environment remains a challenging problem. Maritime radars traditionally use non-coherent processing methods due to the time-varying and range-varying nature of the Doppler spectra. However, the radar backscatter may contain sea-spikes which can last for seconds and resemble targets. His work is to explore a time frequency application namely wavelet transforms to improve target detection in medium grazing angle X-band sea-clutter.

  • Journals

    Year Citation
    2017 Duk, V., Rosenberg, L., & Ng, B. (2017). Target Detection in Sea-Clutter Using Stationary Wavelet Transforms. IEEE Transactions on Aerospace and Electronic Systems, 53(3), 1136-1146.
    DOI Scopus3
  • Conference Papers

    Year Citation
    2017 Duk, V., Rosenberg, L., Ng, B., Ritchie, M., Palama, R., & Griffiths, H. (2017). Target detection in bistatic radar sea clutter using stationary wavelet transforms. In IET Conference Publications Vol. 2017.
    2017 Duk, V., Ng, B., & Rosenberg, L. (2017). Adaptive regularisation for radar sea clutter signal separation using a sparse-based method. In IET Conference Publications Vol. 2017.
    2015 Duk, V., Ng, B., & Rosenberg, L. (2015). The potential of 2D wavelet transforms for target detection in sea-clutter. In IEEE National Radar Conference - Proceedings Vol. 2015-June (pp. 901-906). Arlington, VA: IEEE.
    DOI Scopus5 WoS2
  • Position: Postgraduate Student
  • Email:
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 3
  • Room: 3 27f
  • Org Unit: Faculty of Engineering Computer & Math Sciences

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