Complexity Reduction in Beamforming of Uniform Array Antennas for MIMO Radars

Article


Faghand, E., Mehrshahi, E. and Ghorashi, S. A. 2023. Complexity Reduction in Beamforming of Uniform Array Antennas for MIMO Radars. IEEE Transactions on Radar Systems. 1, pp. 413-422. https://doi.org/10.1109/TRS.2023.3309579
AuthorsFaghand, E., Mehrshahi, E. and Ghorashi, S. A.
Abstract

Covariance matrix design and beamforming in
multiple-input multiple-output (MIMO) radar systems have
always been a time-consuming task with a substantial number of unknown variables in the optimization problem to be solved. Based on the radar and target conditions, beamforming can be a dynamic process and in real-time scenarios, it is critical to have a fast beamforming. In this paper, we propose a beampattern matching design technique that is much faster compared to the well-known traditional semidefinite quadratic programming (SQP) counterpart. We show how to calculate the covariance matrix of the probing transmitted signal to obtain the MIMO radar desired beampattern, using a facilitator library. While the proposed technique inherently satisfies the required practical constraints in covariance matrix design, it significantly reduces the number of unknown variables used in the minimum square error (MSE) optimization problem, and therefore reduces the computational complexity considerably. Simulation results show the superiority of the proposed technique in terms of complexity and speed, compared with existing methods. This superiority is enhanced by increasing the number of antennas.

Keywordscovariance matrix design; real-time beamforming; multiple-input multiple-output (MIMO); radar; semidefinite quadratic programming (SQP); minimum square error (MSE)
JournalIEEE Transactions on Radar Systems
Journal citation1, pp. 413-422
ISSN2832-7357
Year2023
PublisherIEEE
Accepted author manuscript
License
File Access Level
Anyone
Digital Object Identifier (DOI)https://doi.org/10.1109/TRS.2023.3309579
Web address (URL)https://ieeexplore.ieee.org/document/10233036
Publication dates
Online28 Aug 2023
Publication process dates
Accepted12 Aug 2023
Deposited26 Sep 2023
Copyright holder© 2023, IEEE
Copyright informationPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
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