{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T13:38:32Z","timestamp":1780580312046,"version":"3.54.1"},"reference-count":33,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T00:00:00Z","timestamp":1694736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Defense Technology 173 Project","award":["2021-JCJQ-JJ-0277"],"award-info":[{"award-number":["2021-JCJQ-JJ-0277"]}]},{"name":"National Defense Technology 173 Project","award":["2022r073"],"award-info":[{"award-number":["2022r073"]}]},{"name":"Startup Foundation for Introducing Talent of NUIST","award":["2021-JCJQ-JJ-0277"],"award-info":[{"award-number":["2021-JCJQ-JJ-0277"]}]},{"name":"Startup Foundation for Introducing Talent of NUIST","award":["2022r073"],"award-info":[{"award-number":["2022r073"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>With the proliferation of unmanned aerial vehicles (UAVs) in both commercial and military use, the public is paying increasing attention to UAV identification and regulation. The micro-Doppler characteristics of a UAV can reflect its structure and motion information, which provides an important reference for UAV recognition. The low flight altitude and small radar cross-section (RCS) of UAVs make the cancellation of strong ground clutter become a key problem in extracting the weak micro-Doppler signals. In this paper, a clutter suppression method based on an orthogonal matching pursuit (OMP) algorithm is proposed, which is used to process echo signals obtained by a linear frequency modulated continuous wave (LFMCW) radar. The focus of this method is on the idea of sparse representation, which establishes a complete set of environmental clutter dictionaries to effectively suppress clutter in the received echo signals of a hovering UAV. The processed signals are analyzed in the time\u2013frequency domain. According to the flicker phenomenon of UAV rotor blades and related micro-Doppler characteristics, the feature parameters of unknown UAVs can be estimated. Compared with traditional signal processing methods, the method based on OMP algorithm shows advantages in having a low signal-to-noise ratio (\u221210 dB). Field experiments indicate that this approach can effectively reduce clutter power (\u221215 dB) and successfully extract micro-Doppler signals for identifying different UAVs.<\/jats:p>","DOI":"10.3390\/s23187922","type":"journal-article","created":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T23:57:46Z","timestamp":1694995066000},"page":"7922","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Micro-Doppler Signature Detection and Recognition of UAVs Based on OMP Algorithm"],"prefix":"10.3390","volume":"23","author":[{"given":"Shiqi","family":"Fan","sequence":"first","affiliation":[{"name":"Department of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyan","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenqiang","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiabao","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gangyi","family":"Tu","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"McTegg, S.J., Tarsha Kurdi, F., Simmons, S., and Gharineiat, Z. 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