A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar
Eisele B, Bereyhi A, Ullmann I, Müller R (2023)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2023
Pages Range: 1-6
Conference Proceedings Title: 2023 IEEE Radar Conference (RadarConf23)
Event location: San Antonio, TX, USA
DOI: 10.1109/RadarConf2351548.2023.10149680
Abstract
In colocated compressive sensing MIMO radar, the measurement matrix is specified by antenna placement. To guarantee an acceptable recovery performance, this measurement matrix should satisfy certain properties, e.g., a small coherence. Prior work in the literature often employs randomized placement algorithms which optimize the prior distribution of antenna locations. The performance of these algorithms is suboptimal, as they can be easily enhanced via expurgation. In this paper, we suggest an iterative antenna placement algorithm which determines the antenna locations deterministically. The proposed algorithm locates jointly the antenna elements on the transmit and receive arrays, such that the coherence of the resulting measurement matrix is minimized. Numerical simulations demonstrate that the proposed algorithm outperforms significantly the benchmark, even after expurgation.
Authors with CRIS profile
Bastian Eisele
Professur für Informationsübertragung
Ali Bereyhi
Lehrstuhl für Digitale Übertragung (IDC)
Ingrid Ullmann
Lehrstuhl für Hochfrequenztechnik (LHFT)
Ralf Müller
Professur für Informationsübertragung
Additional Organisation(s)
How to cite
APA:
Eisele, B., Bereyhi, A., Ullmann, I., & Müller, R. (2023). A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar. In 2023 IEEE Radar Conference (RadarConf23) (pp. 1-6). San Antonio, TX, USA, US.
MLA:
Eisele, Bastian, et al. "A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar." Proceedings of the 2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA 2023. 1-6.
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