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Due to the complex characteristics of the satellite\u2010ground IoT link, including Doppler and multipath effect, especially in scenarios related to military fields, it is difficult to use traditional method and traditional cooperative communication methods for link signal detection. Therefore, this paper proposes an efficient detection of satellite\u2010ground IoT link based on the blind neural network (BNN). The BNN includes two network structures, the data feature network and the error update network. Through multiple iterations of the error update network, the weight of BNN for blind detection is optimized and the optimal elimination solution is obtained. Through establishing a satellite\u2010to\u2010ground link model simulation of the low\u2010orbit satellite, the proposed BNN algorithm can obtain better bit error rate characteristics.<\/jats:p>","DOI":"10.1155\/2021\/5547989","type":"journal-article","created":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T21:05:17Z","timestamp":1620421517000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Signal Detection in Satellite\u2010Ground IoT Link Based on Blind Neural Network"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2332-1275","authenticated-orcid":false,"given":"Qing-yang","family":"Guan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9305-2173","authenticated-orcid":false,"given":"Wu","family":"Shuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,5,7]]},"reference":[{"key":"e_1_2_11_1_2","unstructured":"QianB. 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