[en] 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.
Disciplines :
Computer science
Author, co-author :
Sichani, Nazila Karimian; Shahid Beheshti University,Faculty of Electrical Engineering,Department of Telecommunications,Tehran,Iran,1983963113
ALAEE, Mohammad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
RAEI, Ehsan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SPARC > Team Bhavani Shankar MYSORE RAMA RAO
R., Bhavani Shankar M.; University of Luxembourg,Interdisciplinary Centre for Security, Reliability and Trust (SnT),Luxembourg
Mehrshahi, Esfandiar; Shahid Beheshti University,Faculty of Electrical Engineering,Department of Telecommunications,Tehran,Iran,1983963113
Ghorashi, Seyyed Ali; School of Architecture, Computing and Engineering, University of East London,Department of Computer Science and Digital Technologies,London,UK,E16 2RD
External co-authors :
yes
Language :
English
Title :
MIMO Virtual Array Design for mmWave 4D-Imaging Radar Sensors
Publication date :
04 September 2023
Event name :
2023 31st European Signal Processing Conference (EUSIPCO)
