RMIT University
Browse

Depth Perception in Wideband Coherent Doppler Tomography Using the Dual-Layer Peak Matching Technique

journal contribution
posted on 2024-11-02, 14:36 authored by Brent Crawley, Thomas Baum, Kelvin Nicholson, Kamran GhorbaniKamran Ghorbani
This article demonstrates a new method of determining depth in wideband coherent Doppler tomography (CDT) using only a monostatic arrangement. The method was developed to eliminate the smearing effects present when imaging a target wrapped around a conformal surface. All that is required is the addition of isotropic targets placed around the subject under test (SUT). Using only a single data set, two images containing differing reference planes are generated. The new algorithm locates the position of these points and correlates the dispersion of the peak spectral power for each one. It has appropriately been named the dual-layer peak matching (DLPM) technique. The DLPM technique will be performed in both the measured and simulated environments to consolidate the robustness of the results generated. For both examples, positional error falls within the range resolution for the measurement setup. All steps are demonstrated from the data acquisition to the final result, allowing the user to predict the depth (from here on referred to as the ' \boldsymbol {\Delta z} ' location) of multiple scatterers in space. Finally, a tomographic image will be generated that encompasses the DLPM technique to eliminate smearing in the measured example.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/TMTT.2020.2967684
  2. 2.
    ISSN - Is published in 00189480

Journal

IEEE Transactions on Microwave Theory and Techniques

Volume

68

Number

8979181

Issue

5

Start page

1954

End page

1963

Total pages

10

Publisher

IEEE

Place published

United States

Language

English

Copyright

© 2020 IEEE.

Former Identifier

2006102756

Esploro creation date

2022-11-25

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC