1887

Abstract

Summary

Abstract – The successful realisation of high performance radars requires sophisticated methods and algorithms capable of obtaining information about investigated objects.

This paper illustrates a new method to determine surface inhomogeneities and/or their shapes for centimetre, millimetre, and sub – millimetre waves based on a method for revealing structures (MRS) which is a powerful tool to analyse data by means of finding of spatial points in which signals have the greatest contrast concerning other background points.

Typical examples of such inhomogeneous (textured) areas are near-surface buried objects, snow-covered ground, water waves and many others.

The new suggested method was named as “BinREL” and can be considered a generic approach for advanced signal processing since it is not tied to the physical nature or a concrete form of probing signal.

The merits of the method has been evaluated by processing datasets obtained from Staal Technologies prototypes based on 60 GHz frequency modulated continuous wave (FMCW) radar application specific integrated circuit (ASIC): RIC60A. The inkjet - printed images were taken as an investigation example.

Index terms – signal processing algorithms, microwave imaging, FMCW, ASIC, radar measurements, radar applications.

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/content/papers/10.3997/2214-4609.201902534
2019-09-08
2024-03-28
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References

  1. [1]L.PeterJr., J. D.Young, and J.Daniels, “Ground penetration radar as a subsurface environmental sensing tool,” Proc. IEEE, vol. 82, pp. 1802–1822, Dec. 1994.
    [Google Scholar]
  2. [2]C.Liu, L. C.Shen, “Numerical simulation of subsurface radar for detecting buried pipes”, IEEE Transactions on Geoscience and Remote Sensing, vol. 29, no. 5, pp. 795–798, Sept. 1991. DOI: 10.1109/36.83997
    https://doi.org/10.1109/36.83997 [Google Scholar]
  3. [3]M.Kondo, K.Kawai, H.Hirano and T.Fujisaka, “Ocean wave observation by CW mm-wave radar with narrow beam,” Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200), Atlanta, GA, USA, 2001, pp. 398–403. doi: 10.1109/NRC.2001.923012J.
    https://doi.org/10.1109/NRC.2001.923012J [Google Scholar]
  4. [4]J.Suomela, J.Kuusela, A.Halme, “Millimetre Wave Radar for Close Terrain Mapping of an Intelligent Autonomous Vehicle”, IFAC Proceedings Volumes, Volume 28, Issue 11, 1995, Pages 331–336, ISSN 1474–6670, https://doi.org/10.1016/S1474-6670(17)46994-1.
    [Google Scholar]
  5. [5]S.G.Kataev, A.I.Kuskov. Bulletin of TPU [in Russian], No. 5, 10–17 (1998).
    [Google Scholar]
  6. [6]G. O.Zadde, S. G.Kataev, and A. I.Kuskov. Regional Atmospheric Monitoring, Vol. 4 [in Russian], Tomsk, RASKO (2000).
    [Google Scholar]
  7. [7]V. V.Zagoskin, V. V.Iljushenko, S. G.Kataev, and V. N.Chernyshov. Proc. SIBPOL, Siber. Polar. Workshop [in Russian], 232–237 (2004).
    [Google Scholar]
  8. [8]Sandryhaila and J. M.Moura, “Discrete Signal Processing on Graphs,” IEEE Transactions on Signal Processing, vol. 61, no. 7, pp. 1644–1656, 2013.
    [Google Scholar]
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