Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar
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 adjace...
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| Format: | Article |
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MDPI AG
2020-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/15/4295 |
| _version_ | 1827711822425227264 |
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| author | Bong-seok Kim Youngseok Jin Jonghun Lee Sangdong Kim |
| author_facet | Bong-seok Kim Youngseok Jin Jonghun Lee Sangdong Kim |
| author_sort | Bong-seok Kim |
| collection | DOAJ |
| description | 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<inline-formula><math display="inline"><semantics><msup><mrow></mrow><mo>°</mo></msup></semantics></math></inline-formula>, 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. |
| first_indexed | 2024-03-10T18:03:01Z |
| format | Article |
| id | doaj.art-485db0e2beb54d68a977655847c1bc3b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:03:01Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-485db0e2beb54d68a977655847c1bc3b2023-11-20T08:43:06ZengMDPI AGSensors1424-82202020-07-012015429510.3390/s20154295Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital RadarBong-seok Kim0Youngseok Jin1Jonghun Lee2Sangdong Kim3Advanced Radar Technology Laboratory, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, KoreaAdvanced Radar Technology Laboratory, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, KoreaAdvanced Radar Technology Laboratory, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, KoreaAdvanced Radar Technology Laboratory, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, KoreaThis 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<inline-formula><math display="inline"><semantics><msup><mrow></mrow><mo>°</mo></msup></semantics></math></inline-formula>, 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.https://www.mdpi.com/1424-8220/20/15/4295FMCWarray spacinglow complexityMUSIC |
| spellingShingle | Bong-seok Kim Youngseok Jin Jonghun Lee Sangdong Kim Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar Sensors FMCW array spacing low complexity MUSIC |
| title | Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar |
| title_full | Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar |
| title_fullStr | Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar |
| title_full_unstemmed | Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar |
| title_short | Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar |
| title_sort | low complexity music based direction of arrival detection algorithm for frequency modulated continuous wave vital radar |
| topic | FMCW array spacing low complexity MUSIC |
| url | https://www.mdpi.com/1424-8220/20/15/4295 |
| work_keys_str_mv | AT bongseokkim lowcomplexitymusicbaseddirectionofarrivaldetectionalgorithmforfrequencymodulatedcontinuouswavevitalradar AT youngseokjin lowcomplexitymusicbaseddirectionofarrivaldetectionalgorithmforfrequencymodulatedcontinuouswavevitalradar AT jonghunlee lowcomplexitymusicbaseddirectionofarrivaldetectionalgorithmforfrequencymodulatedcontinuouswavevitalradar AT sangdongkim lowcomplexitymusicbaseddirectionofarrivaldetectionalgorithmforfrequencymodulatedcontinuouswavevitalradar |