{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T10:04:05Z","timestamp":1766138645894,"version":"build-2065373602"},"reference-count":51,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T00:00:00Z","timestamp":1712188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Agricultural Joint Fund of Yunnan Province, China","award":["202301BD070001-086","2022J0495","31860332","32360388"],"award-info":[{"award-number":["202301BD070001-086","2022J0495","31860332","32360388"]}]},{"name":"Scientific Research Foundation of the Education Department of Yunnan Province, China","award":["202301BD070001-086","2022J0495","31860332","32360388"],"award-info":[{"award-number":["202301BD070001-086","2022J0495","31860332","32360388"]}]},{"name":"National Natural Science Foundation of China","award":["202301BD070001-086","2022J0495","31860332","32360388"],"award-info":[{"award-number":["202301BD070001-086","2022J0495","31860332","32360388"]}]},{"name":"Research on the Application of Multi-Target Swarm Intelligence Algorithms with the Multi-Modal in Biological Data","award":["202301BD070001-086","2022J0495","31860332","32360388"],"award-info":[{"award-number":["202301BD070001-086","2022J0495","31860332","32360388"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The demand for precise positioning in noisy environments has propelled the development of research on array antenna radar systems. Although the orthogonal matching pursuit (OMP) algorithm demonstrates superior performance in signal reconstruction, its application efficacy in noisy settings faces challenges. Consequently, this paper introduces an innovative OMP algorithm, DTM_OMP_ICA (a dual-threshold mask OMP algorithm based on independent component analysis), which optimizes the OMP signal reconstruction framework by utilizing two different observation bases in conjunction with independent component analysis (ICA). By implementing a mean mask strategy, it effectively denoises signals received by array antennas in noisy environments. Simulation results reveal that compared to traditional OMP algorithms, the DTM_OMP_ICA algorithm shows significant advantages in noise suppression capability and algorithm stability. Under optimal conditions, this algorithm achieves a noise suppression rate of up to 96.8%, with its stability also reaching as high as 99%. Furthermore, DTM_OMP_ICA surpasses traditional denoising algorithms in practical denoising applications, proving its effectiveness in reconstructing array antenna signals in noisy settings. This presents an efficient method for accurately reconstructing array antenna signals against a noisy backdrop.<\/jats:p>","DOI":"10.3390\/s24072291","type":"journal-article","created":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T00:42:26Z","timestamp":1712191346000},"page":"2291","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["An Improved OMP Algorithm for Enhancing the Anti-Interference Performance of Array Antennas"],"prefix":"10.3390","volume":"24","author":[{"given":"Mingyuan","family":"Gao","sequence":"first","affiliation":[{"name":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mathematics and Physics, Southwest Forestry University, Kunming 650224, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yueyun","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danju","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1764-2006","authenticated-orcid":false,"given":"Rui","family":"Xi","sequence":"additional","affiliation":[{"name":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lianglian","family":"Gu","sequence":"additional","affiliation":[{"name":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqian","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1109\/TAES.1984.4502060","article-title":"Developments in radar imaging","volume":"AES-20","author":"Ausherman","year":"1984","journal-title":"IEEE Trans. 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