Flexible MIMO Radar Antenna Selection for Vehicle Positioning in IIOT Based on CNN
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Unmanned vehicles are widely used in industrial scenarios; their positioning information is vital for emerging the industrial internet of thing (IIOT); thus, it has aroused considerable interest.
Cooperative vehicle positioning using multiple-input multiple-output (MIMO) radars is one of the most promising techniques, the core of which is to measure the direction-of-arrival (DOA) of the vehicle from various viewpoints.
Owing to power limitations, the MIMO radar may be unable to utilize all the antenna elements to transmit/receive (Tx/Rx) signal.
Consequently, it is necessary to deploy a full array and select an optimal Tx/Rx solution.
Owing to the industrial big data (IBD), it is possible to obtain a massive labeled dataset offline, which contains all possible DOAs and the array measurement.
To pursuit fast and reliable Tx/Rx selection, a convolutional neural network (CNN) framework is proposed in this paper, in which the antenna selection is formulated as a multiclass-classification problem.
Herein, we assume the DOA of the vehicle has been known as a prior, and the optimization criterion is to minimize the Crame´r–Rao based on DOA estimation when we use the selected Tx/Rx subarrays.
The proposed framework is flexible and energy friendly.
Simulation results verify the effectiveness of the proposed framework.
American Psychological Association (APA)
Xiong, Yang& Wang, Ke. 2020. Flexible MIMO Radar Antenna Selection for Vehicle Positioning in IIOT Based on CNN. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1193671
Modern Language Association (MLA)
Xiong, Yang& Wang, Ke. Flexible MIMO Radar Antenna Selection for Vehicle Positioning in IIOT Based on CNN. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1193671
American Medical Association (AMA)
Xiong, Yang& Wang, Ke. Flexible MIMO Radar Antenna Selection for Vehicle Positioning in IIOT Based on CNN. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1193671
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193671