MIMO Virtual Array Design for mmWave 4D-Imaging Radar Sensors

Conference paper

Sichani, N. K., Ahmadi, M., Raei, E., Alaee-Kerahroodi, M., Shankar, M. R. B., Mehrshahi, E. and Ghorashi, S. 2023. MIMO Virtual Array Design for mmWave 4D-Imaging Radar Sensors. EUSIPCO 2023: 31st European Signal Processing Conference . Helsinki, Finland 04 - 08 Sep 2023 IEEE. https://doi.org/10.23919/EUSIPCO58844.2023.10290050
AuthorsSichani, N. K., Ahmadi, M., Raei, E., Alaee-Kerahroodi, M., Shankar, M. R. B., Mehrshahi, E. and Ghorashi, S.
TypeConference paper
Abstract

The recently developed 4D-Imaging mmWave MIMO radars have significant advantages over conventional radar sensors because they offer a large virtual array in both azimuth and elevation. However, the physical placement of transmit and receive antennas to achieve the desired virtual array, while considering cost and efficiency is not intuitive. In this paper, we propose an optimization framework for optimally placing the transmit and receive array physical elements. The proposed framework obtains a sequence of optimal placements based on the coordinate descent by defining a desired virtual array and number of transmit and receive antenna elements as the objective. The objective function is then monotonically minimized in each iteration of the proposed algorithm, converging to a solution that guarantees the desired number of transmit and receive antenna elements, while the obtained virtual array is as close to the desired virtual array as possible. The simulation results are validated by simulating the virtual array of multiple commercially available 4D-Imaging radar products.

Keywords4D-Imaging; Automotive Radar; FMCW; PMCW; CDM-MIMO; WISL
Year2023
ConferenceEUSIPCO 2023: 31st European Signal Processing Conference
PublisherIEEE
Accepted author manuscript
License
File Access Level
Anyone
Publication dates
Online01 Nov 2023
Publication process dates
Accepted29 May 2023
Deposited14 Jun 2023
Journal citationpp. 1569-1573
ISSN2076-1465
Book title31st European Signal Processing Conference (EUSIPCO 2023) Proceedings
ISBN9789464593600
Digital Object Identifier (DOI)https://doi.org/10.23919/EUSIPCO58844.2023.10290050
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10289698/proceeding
Web address (URL)https://eurasip.org/Proceedings/Eusipco/Eusipco2023/HTML/index.html
Copyright holder© 2023, The Authors
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