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

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.

BibTeX: Download