{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:49:04Z","timestamp":1781797744919,"version":"3.54.5"},"reference-count":52,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,9,8]],"date-time":"2018-09-08T00:00:00Z","timestamp":1536364800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Key R &amp; D Project of Hainan Province","award":["No.ZDYF2018015"],"award-info":[{"award-number":["No.ZDYF2018015"]}]},{"name":"the Hainan Province Natural Science Foundation of China","award":["617033"],"award-info":[{"award-number":["617033"]}]},{"name":"Oriented Project of State Key Laboratory of Marine Resource Utilization in South China Sea","award":["DX2017012"],"award-info":[{"award-number":["DX2017012"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61561017"],"award-info":[{"award-number":["61561017"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Major Science and Technology Project of Hainan Province","award":["ZDKJ2016015"],"award-info":[{"award-number":["ZDKJ2016015"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The sampling rate of wideband spectrum sensing for sparse signals can be reduced by sub-Nyquist sampling with a Modulated Wideband Converter (MWC). In collaborative spectrum sensing, the fusion center recovers the spectral support from observation and measurement matrices reported by a network of CRs, to improve the precision of spectrum sensing. However, the MWC has a very high hardware complexity due to its parallel structure; it sets a fixed threshold for a decision without considering the impact of noise intensity, and needs a priori information of signal sparsity order for signal support recovery. To address these shortcomings, we propose a progressive support selection based self-adaptive distributed MWC sensing scheme (PSS-SaDMWC). In the proposed scheme, the parallel hardware sensing channels are scattered on secondary users (SUs), and the PSS-SaDMWC scheme takes sparsity order estimation, noise intensity, and transmission loss into account in the fusion center. More importantly, the proposed scheme uses a support selection strategy based on a progressive operation to reduce missed detection probability under low SNR levels. Numerical simulations demonstrate that, compared with the traditional support selection schemes, our proposed scheme can achieve a higher support recovery success rate, lower sampling rate, and stronger time-varying support recovery ability without increasing hardware complexity.<\/jats:p>","DOI":"10.3390\/s18093011","type":"journal-article","created":{"date-parts":[[2018,9,10]],"date-time":"2018-09-10T10:28:57Z","timestamp":1536575337000},"page":"3011","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum Sensing"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6837-9024","authenticated-orcid":false,"given":"Zhuhua","family":"Hu","sequence":"first","affiliation":[{"name":"College of Information Science &amp; Technology, Hainan University, Haikou 570208, China"},{"name":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570208, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Bai","sequence":"additional","affiliation":[{"name":"College of Information Science &amp; Technology, Hainan University, Haikou 570208, China"},{"name":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570208, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengxing","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Information Science &amp; Technology, Hainan University, Haikou 570208, China"},{"name":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570208, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingshan","family":"Xie","sequence":"additional","affiliation":[{"name":"College of Information Science &amp; Technology, Hainan University, Haikou 570208, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaochi","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Information Science &amp; Technology, Hainan University, Haikou 570208, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3129","DOI":"10.1109\/TCOMM.2014.2346775","article-title":"Robust spectrum sensing with crowd sensors","volume":"62","author":"Ding","year":"2014","journal-title":"IEEE Trans. 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