Reconfigurable Linear Antenna Arrays for Beam-Pattern Matching in Collocated MIMO Radars

Article


Kavousi Ghafi, E., Ghorashi, S. and Mehrshahi, E. 2021. Reconfigurable Linear Antenna Arrays for Beam-Pattern Matching in Collocated MIMO Radars. IEEE Transactions on Aerospace and Electronic Systems. 57 (5), pp. 2715-2724. https://doi.org/10.1109/TAES.2021.3062173
AuthorsKavousi Ghafi, E., Ghorashi, S. and Mehrshahi, E.
Abstract

Beam-pattern matching plays an important role in multiple-input multiple-output radars. In the vast majority of research done in this area, the aim is to find the covariance matrix of the waveforms fed into the transmit array. Also, reconfiguring a preset array of antennas (antenna selection), which means turning off some of the antennas in the array, is an effective technique to reach the desired beam patterns, dynamically. In this article, we introduce a novel multistep method to implement this reconfiguration technique to a uniform linear array. In each step, by exploiting the relation between the diagonal elements of a covariance matrix resulted from solving a beam-pattern matching problem and the transmitted power of the antennas, we find the least important antenna of the array and turn it off accordingly. Then, we repeat this process until a predefined number of antennas remains. Our proposed method outperforms its counterparts in the literature in terms of beam-pattern matching as well as computational complexity, which makes it an appropriate method for real-time applications. Simulations are used to show the validity and superiority of the proposed method.

KeywordsMIMO radar; beam-pattern matching; reconfigurable antenna array; antenna selection
JournalIEEE Transactions on Aerospace and Electronic Systems
Journal citation57 (5), pp. 2715-2724
ISSN0018-9251
Year2021
PublisherIEEE
Accepted author manuscript
License
File Access Level
Anyone
Digital Object Identifier (DOI)https://doi.org/10.1109/TAES.2021.3062173
Publication dates
Online11 Mar 2021
Publication process dates
Accepted04 Aug 2020
Deposited11 Oct 2021
Copyright holder© 2021 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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