Details
| Original language | English |
|---|---|
| Title of host publication | 2024 15th German Microwave Conference, GeMiC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 257-260 |
| Number of pages | 4 |
| ISBN (electronic) | 9783982039732 |
| Publication status | Published - 2024 |
| Event | 15th German Microwave Conference, GeMiC 2024 - Duisburg, Germany Duration: 11 Mar 2024 → 13 Mar 2024 |
Publication series
| Name | 2024 15th German Microwave Conference, GeMiC 2024 |
|---|
Abstract
A lot of research efforts have been invested to im-prove angular estimation accuracy and resolution while keeping hardware efforts small. For this reason, techniques to virtually augment antenna apertures became popular. Among these are the employment of multiple-input and multiple-output (MIMO) methods or the utilization of second-order statistics in co-prime arrays. However since these virtually augmented arrays generally feature holes and thus missing spatial samples, they suffer from an increase of sidelobe levels and performance degradation. This imposes challenges to angular estimation procedures. To face those shortcomings, this paper presents a novel, fast and simple array interpolation technique to reconstruct a uniform linear array (ULA) measurement. The method is furthermore suitable for applications with severely limited snapshot count such as automotive imaging radars. Numerical experiments validate the superiority of the proposed method in terms of resolution ability, estimation accuracy and computation time compared to nuclear norm minimization (NNM) techniques.
Keywords
- array interpolation, Direction-of-arrival estimation, sparse array, structured ma-trix completion
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Instrumentation
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2024 15th German Microwave Conference, GeMiC 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 257-260 (2024 15th German Microwave Conference, GeMiC 2024).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Single Snapshot Array Interpolation for Angular Estimation in Automotive Radar Applications
AU - Jauch, Alisa
AU - Meinl, Frank
AU - Blume, Holger
N1 - Publisher Copyright: © 2024 IMA.
PY - 2024
Y1 - 2024
N2 - A lot of research efforts have been invested to im-prove angular estimation accuracy and resolution while keeping hardware efforts small. For this reason, techniques to virtually augment antenna apertures became popular. Among these are the employment of multiple-input and multiple-output (MIMO) methods or the utilization of second-order statistics in co-prime arrays. However since these virtually augmented arrays generally feature holes and thus missing spatial samples, they suffer from an increase of sidelobe levels and performance degradation. This imposes challenges to angular estimation procedures. To face those shortcomings, this paper presents a novel, fast and simple array interpolation technique to reconstruct a uniform linear array (ULA) measurement. The method is furthermore suitable for applications with severely limited snapshot count such as automotive imaging radars. Numerical experiments validate the superiority of the proposed method in terms of resolution ability, estimation accuracy and computation time compared to nuclear norm minimization (NNM) techniques.
AB - A lot of research efforts have been invested to im-prove angular estimation accuracy and resolution while keeping hardware efforts small. For this reason, techniques to virtually augment antenna apertures became popular. Among these are the employment of multiple-input and multiple-output (MIMO) methods or the utilization of second-order statistics in co-prime arrays. However since these virtually augmented arrays generally feature holes and thus missing spatial samples, they suffer from an increase of sidelobe levels and performance degradation. This imposes challenges to angular estimation procedures. To face those shortcomings, this paper presents a novel, fast and simple array interpolation technique to reconstruct a uniform linear array (ULA) measurement. The method is furthermore suitable for applications with severely limited snapshot count such as automotive imaging radars. Numerical experiments validate the superiority of the proposed method in terms of resolution ability, estimation accuracy and computation time compared to nuclear norm minimization (NNM) techniques.
KW - array interpolation
KW - Direction-of-arrival estimation
KW - sparse array
KW - structured ma-trix completion
UR - http://www.scopus.com/inward/record.url?scp=85190671764&partnerID=8YFLogxK
U2 - 10.23919/gemic59120.2024.10485332
DO - 10.23919/gemic59120.2024.10485332
M3 - Conference contribution
AN - SCOPUS:85190671764
T3 - 2024 15th German Microwave Conference, GeMiC 2024
SP - 257
EP - 260
BT - 2024 15th German Microwave Conference, GeMiC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th German Microwave Conference, GeMiC 2024
Y2 - 11 March 2024 through 13 March 2024
ER -