{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T15:29:42Z","timestamp":1776785382750,"version":"3.51.2"},"reference-count":15,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T00:00:00Z","timestamp":1627257600000},"content-version":"vor","delay-in-days":206,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61204039"],"award-info":[{"award-number":["61204039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>There are two primary defects in the existing UAV avoidance systems: the system is memoryless; airborne radars are used to detect long\u2010distance barriers, which are unreliable and expensive. The paper adopts the deep learning algorithm and ADS\u2010B communication system based on a satellite base station to solve the above problems. It divides the avoidance problem into two parts: short\u2010distance obstacle avoidance and long\u2010distance route planning. On the one hand, the system establishes the knowledge base storing the previous avoidance experience and the matching mechanism, realizing the correspondence between input and experience through a deep learning algorithm. They can dramatically improve the reaction speed and safety of UAVs. On the other hand, the system realizes the interconnection between UAV and the satellite base station through the ADS\u2010B communication system to replace the radars, putting the task of route planning on the satellite platform. Therefore, the satellite can achieve large\u2010scale and all\u2010weather detection to improve the overall safety of UAVs depending on its high and long\u2010range characteristics. The paper also illustrates the design elements of the RF baseband integrated ADS\u2010B transceiver and the simulation performance of the short\u2010distance avoidance system in the end, whose results show that the system can be applied to dense obstacle environments and significantly improve the security of UAVs in a complex domain.<\/jats:p>","DOI":"10.1155\/2021\/3072606","type":"journal-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T19:05:06Z","timestamp":1627326306000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Design of a Developable Automatic Avoidance System of UAV Based on ADS\u2010B"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8190-0243","authenticated-orcid":false,"given":"Xuzheng","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9887-8193","authenticated-orcid":false,"given":"Yifei","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6669-5832","authenticated-orcid":false,"given":"Chenxiao","family":"Mao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0861-1802","authenticated-orcid":false,"given":"Yaohua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2396-5991","authenticated-orcid":false,"given":"Na","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,7,26]]},"reference":[{"key":"e_1_2_12_1_2","first-page":"324","article-title":"Study on path planning for aircraft based on improved A\u2217 algorithm","volume":"30","author":"Bo R.","year":"2008","journal-title":"Systems Engineering and Electronics"},{"key":"e_1_2_12_2_2","first-page":"1085","article-title":"Indoor mobile-robot path planning based on an improved A\u2217 algorithm","volume":"52","author":"Dianjun W. 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