Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars
In this paper, we propose a parameter estimation method for multiple-input-multiple-output (MIMO) automotive radars that consists of two stages. The first stage is a low-complexity three-dimensional (3D) constant false alarm rate (CFAR) detection technique that exploits spatial filtering to extend r...
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Veröffentlicht in: | IEEE access 2020, Vol.8, p.16127-16138 |
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description | In this paper, we propose a parameter estimation method for multiple-input-multiple-output (MIMO) automotive radars that consists of two stages. The first stage is a low-complexity three-dimensional (3D) constant false alarm rate (CFAR) detection technique that exploits spatial filtering to extend radar coverage, and it performs low-complexity peak detection. The second stage is an ESPRIT-based direction-of-arrival (DOA) estimation technique that adopts time-frequency resource division to generate high-quality snapshots and it performs DOA estimation of targets without the knowledge of the target number. Computer simulations reveal that the proposed method achieves the performance of the two-dimensional ordered statistic CFAR (2D OS-CFAR) while having much lower computational complexity, and it offers the higher resolution DOA estimation compared to the conventional MIMO radars. |
doi_str_mv | 10.1109/ACCESS.2019.2926413 |
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(IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-d19d8668fa3a26c824cab35487105cbc7fbb5c72105a8392dd8d51516e80afe43</citedby><cites>FETCH-LOGICAL-c474t-d19d8668fa3a26c824cab35487105cbc7fbb5c72105a8392dd8d51516e80afe43</cites><orcidid>0000-0003-2633-7202</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8753573$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2095,4009,27612,27902,27903,27904,54911</link.rule.ids></links><search><creatorcontrib>Lin, Yu-Chien</creatorcontrib><creatorcontrib>Lee, Ta-Sung</creatorcontrib><creatorcontrib>Pan, Yun-Han</creatorcontrib><creatorcontrib>Lin, Kuan-Hen</creatorcontrib><title>Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars</title><title>IEEE access</title><addtitle>Access</addtitle><description>In this paper, we propose a parameter estimation method for multiple-input-multiple-output (MIMO) automotive radars that consists of two stages. 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Computer simulations reveal that the proposed method achieves the performance of the two-dimensional ordered statistic CFAR (2D OS-CFAR) while having much lower computational complexity, and it offers the higher resolution DOA estimation compared to the conventional MIMO radars.</description><subject>Automotive radar</subject><subject>CFAR detection</subject><subject>Complexity</subject><subject>Constant false alarm rate</subject><subject>Direction of arrival</subject><subject>Direction-of-arrival estimation</subject><subject>DOA estimation</subject><subject>Doppler radar</subject><subject>ESPRIT</subject><subject>Estimation</subject><subject>MIMO (control systems)</subject><subject>MIMO radar</subject><subject>mmWave radar</subject><subject>OFDM</subject><subject>Parameter estimation</subject><subject>Radar antennas</subject><subject>Spatial filtering</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1PwkAQbYwmEuQXcGniudj93h5Jg0ICYkDPm-1-YAmwuLuo_HsLJcS5zMzLvDczeUnSB_kAgLx4GpblaLkcwBwUA1hAigG6SToQ0CJDBNHbf_V90gthnTfBG4iwTvI6dT9Z6bb7jfmt4zEd16vPbGGC2xxi7Xbpm_Rya6Lx6SjEeivPoHU-HR6i27pYf5t0NpnN04XU0oeH5M7KTTC9S-4mH8-j93KcTecvk3I4zRRmOGYaFJpTyq1EElLFIVayQgRzBnKiKsVsVRHFYNNJjgqoNdcEEEANz6U1GHWTSaurnVyLvW8u80fhZC3OgPMrIX2s1cYIaDW1wBqgpMXq9DaCVHOkIScFs7TRemy19t59HUyIYu0OftecLyAmmCFIMGmmUDulvAvBG3vdCnJx8kG0PoiTD-LiQ8Pqt6zaGHNlcEYQYQj9ATgkgyU</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Lin, Yu-Chien</creator><creator>Lee, Ta-Sung</creator><creator>Pan, Yun-Han</creator><creator>Lin, Kuan-Hen</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Automotive radar CFAR detection Complexity Constant false alarm rate Direction of arrival Direction-of-arrival estimation DOA estimation Doppler radar ESPRIT Estimation MIMO (control systems) MIMO radar mmWave radar OFDM Parameter estimation Radar antennas Spatial filtering |
title | Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars |
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