Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar
Massive multiple-input multiple-output (MIMO) radar, enabled by millimeter-wave virtual MIMO techniques, provides great promises to the high-resolution automotive sensing and target detection in unmanned ground/aerial vehicles (UGA/UAV). As a long-established problem, however, existing subspace methods suffer from either high complexity or low accuracy. In this work, the authors propose two efficient methods, to accomplish fast subspace computation and accurate angle of arrival (AoA) acquisition. By leveraging randomized low-rank approximation, the authors' fast multiple signal classification (MUSIC) methods, relying on random sampling and projection techniques, substantially accelerate the subspace estimation by orders of magnitude. Moreover, the authors establish the theoretical bounds of their proposed methods, which ensure the accuracy of the approximated pseudo-spectrum. As demonstrated, the pseudo-spectrum acquired by the authors' fast-MUSIC would be highly precise; and the estimated AoA is almost as accurate as standard MUSIC. In contrast, the authors' new methods are tremendously faster than standard MUSIC. Thus, the authors' fast-MUSIC enables the high-resolution real-time environmental sensing with massive MIMO radars, which has great potential in the emerging unmanned systems.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
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Supplemental Notes:
- Copyright © 2022, IEEE.
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Authors:
- Li, Bin
- Wang, Shusen
- Zhang, Jun
- Cao, Xianbin
- Zhao, Chenglin
- Publication Date: 2022-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1172-1186
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 71
- Issue Number: 2
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Drones; Millimeter wave communication systems; Radar antennas; Sensors; Telecommunications
- Subject Areas: Aviation; Data and Information Technology; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01837081
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 25 2022 8:58AM