A Computationally Efficient Reconstruction Approach for Imaging Layered Dielectrics With Sparse MIMO Arrays

Ullmann I, Vossiek M (2021)

Publication Language: English

Publication Type: Journal article, Review article

Publication year: 2021

Journal

IEEE Journal of Microwaves IEEE

Book Volume: 1

Pages Range: 659-665

Journal Issue: 2692-8388

DOI: 10.1109/JMW.2021.3055869

Abstract

This contribution presents a novel, computationally efficient approach to radar imaging of layered dielectrics with sparse MIMO arrays. Our concept does not impose any constraints on the array topology and at the same time promises to be more efficient than the state-of-the-art backprojection algorithm because it can make use of k-space reconstruction schemes. Experimental results with a sparse, non-equidistantly sampled array are provided. These demonstrate the feasibility of the approach and that the computational burden could be reduced by several orders of magnitude in a given practical example related to radar based non-destructive testing.

Authors with CRIS profile

Ingrid Ullmann Lehrstuhl für Hochfrequenztechnik Martin Vossiek Lehrstuhl für Hochfrequenztechnik

How to cite

APA:

Ullmann, I., & Vossiek, M. (2021). A Computationally Efficient Reconstruction Approach for Imaging Layered Dielectrics With Sparse MIMO Arrays. IEEE Journal of Microwaves, 1(2692-8388), 659-665. https://doi.org/10.1109/JMW.2021.3055869

MLA:

Ullmann, Ingrid, and Martin Vossiek. "A Computationally Efficient Reconstruction Approach for Imaging Layered Dielectrics With Sparse MIMO Arrays." IEEE Journal of Microwaves 1.2692-8388 (2021): 659-665.

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