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Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar

Title
Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar
Author(s)
Kim, Bong-seokJin, YoungseokLee, JonghunKim, Sangdong
DGIST Authors
Kim, Bong-seokJin, YoungseokLee, JonghunKim, Sangdong
Issued Date
2020-08
Type
Article
Article Type
Article
Author Keywords
FMCWarray spacinglow complexityMUSIC
Keywords
DOA ESTIMATION
ISSN
1424-8220
Abstract
This paper proposes a low complexity multiple-signal-classifier (MUSIC)-based direction-of-arrival (DOA) detection algorithm for frequency-modulated continuous-wave (FMCW) vital radars. In order to reduce redundant complexity, the proposed algorithm employs characteristics of distance between adjacent arrays having trade-offs between field of view (FOV) and resolution performance. First, the proposed algorithm performs coarse DOA estimation using fast Fourier transform. On the basis of the coarse DOA estimation, the number of channels as input of the MUSIC algorithm are selected. If the estimated DOA is smaller than 30◦, it implies that there is an FOV margin. Therefore, the proposed algorithm employs only half of the channels, that is, it is the same as doubling the spacing between arrays. By doing so, the proposed algorithm achieves more than 40% complexity reduction compared to the conventional MUSIC algorithm while achieving similar performance. By experiments, it is shown that the proposed algorithm despite the low complexity is enable to distinguish the adjacent DOA in a practical environment. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/12541
DOI
10.3390/s20154295
Publisher
MDPI AG
Related Researcher
  • 이종훈 Lee, Jonghun
  • Research Interests Radar System Design; 레이다 설계; Detection & Estimation; 탐지; AI; 인공지능; SensorFusion; 센서융합;signal processing; 신호처리; Quantum radar;양자레이다
Files in This Item:
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000559005500001.pdf

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Appears in Collections:
Division of Automotive Technology Advanced Radar Tech. Lab 1. Journal Articles
Division of Automotive Technology 1. Journal Articles

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