Details
| Original language | English |
|---|---|
| Pages (from-to) | 921-931 |
| Number of pages | 11 |
| Journal | IEEE Open Journal of Antennas and Propagation |
| Volume | 2 |
| Publication status | Published - 24 Aug 2021 |
Abstract
In this paper we show the equivalence of near-field beamforming and backward-wave reconstruction algorithm. The proof is carried out analytically with two different approaches, using the principle of stationary phase from a signal processing point of view and the angular spectrum representation as an electromagnetic point of view. A comparison of the time complexity of the near-field beamforming and backward-wave reconstruction algorithm is given. A detailed discussion of the constraints required for a digital implementation is presented, leading to limitations for the chosen system parameters, especially for the backward-wave reconstruction approach. An exemplarily scenario is simulated and processed, confirming the found equivalence between the two very different approaches of image reconstruction. An additional measurement with a 120 GHz radar showcases the capabilities of both algorithms and validates our findings.
Keywords
- backward-wave reconstruction, Near-field beamforming, radar imaging
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
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In: IEEE Open Journal of Antennas and Propagation, Vol. 2, 24.08.2021, p. 921-931.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A Systematic Comparison of Near-Field Beamforming and Fourier-Based Backward-Wave Holographic Imaging
AU - Paul, Sebastian
AU - Schwartau, Fabian
AU - Krueckemeier, Markus
AU - Caspary, Reinhard
AU - Monka-Ewe, Carsten
AU - Schoebel, Joerg
AU - Kowalsky, Wolfgang
N1 - Funding Information: This work was supported in part by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453); in part by the German Research Foundation; and in part by the Open Access Publication Funds of Technische Universität Braunschweig.
PY - 2021/8/24
Y1 - 2021/8/24
N2 - In this paper we show the equivalence of near-field beamforming and backward-wave reconstruction algorithm. The proof is carried out analytically with two different approaches, using the principle of stationary phase from a signal processing point of view and the angular spectrum representation as an electromagnetic point of view. A comparison of the time complexity of the near-field beamforming and backward-wave reconstruction algorithm is given. A detailed discussion of the constraints required for a digital implementation is presented, leading to limitations for the chosen system parameters, especially for the backward-wave reconstruction approach. An exemplarily scenario is simulated and processed, confirming the found equivalence between the two very different approaches of image reconstruction. An additional measurement with a 120 GHz radar showcases the capabilities of both algorithms and validates our findings.
AB - In this paper we show the equivalence of near-field beamforming and backward-wave reconstruction algorithm. The proof is carried out analytically with two different approaches, using the principle of stationary phase from a signal processing point of view and the angular spectrum representation as an electromagnetic point of view. A comparison of the time complexity of the near-field beamforming and backward-wave reconstruction algorithm is given. A detailed discussion of the constraints required for a digital implementation is presented, leading to limitations for the chosen system parameters, especially for the backward-wave reconstruction approach. An exemplarily scenario is simulated and processed, confirming the found equivalence between the two very different approaches of image reconstruction. An additional measurement with a 120 GHz radar showcases the capabilities of both algorithms and validates our findings.
KW - backward-wave reconstruction
KW - Near-field beamforming
KW - radar imaging
UR - http://www.scopus.com/inward/record.url?scp=85115416582&partnerID=8YFLogxK
U2 - 10.1109/OJAP.2021.3107444
DO - 10.1109/OJAP.2021.3107444
M3 - Article
AN - SCOPUS:85115416582
VL - 2
SP - 921
EP - 931
JO - IEEE Open Journal of Antennas and Propagation
JF - IEEE Open Journal of Antennas and Propagation
ER -