{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T07:02:25Z","timestamp":1774508545657,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2017YFB0502700"],"award-info":[{"award-number":["2017YFB0502700"]}]},{"name":"National Key Research and Development Program of China","award":["61871217"],"award-info":[{"award-number":["61871217"]}]},{"name":"National Key Research and Development Program of China","award":["20182052011"],"award-info":[{"award-number":["20182052011"]}]},{"name":"National Key Research and Development Program of 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Universities","award":["61871217"],"award-info":[{"award-number":["61871217"]}]},{"name":"Fundamental Research Funds for Central Universities","award":["20182052011"],"award-info":[{"award-number":["20182052011"]}]},{"name":"Fundamental Research Funds for Central Universities","award":["KYCX18_0291"],"award-info":[{"award-number":["KYCX18_0291"]}]},{"name":"Fundamental Research Funds for Central Universities","award":["NZ2020007"],"award-info":[{"award-number":["NZ2020007"]}]},{"name":"Fundamental Research Funds for Central Universities","award":["NG2020001"],"award-info":[{"award-number":["NG2020001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In the process of using the Distributed Radar Network Localization System (DRNLS) further to improve the survivability of a carrier platform, the random characteristics of the system\u2019s Aperture Resource Allocation (ARA) and Radar Cross Section (RCS) are often not fully considered. However, the random characteristics of the system\u2019s ARA and RCS will affect the power resource allocation of the DRNLS to a certain extent, and the allocation result is an essential factor determining the performance of the DRNLS\u2019s Low Probability of Intercept (LPI). Therefore, a DRNLS still has some limitations in practical application. In order to solve this problem, a joint allocation scheme of aperture and power for the DRNLS based on LPI optimization (JA scheme) is proposed. In the JA scheme, the fuzzy random Chance Constrained Programmin model for radar antenna aperture resource management (RAARM-FRCCP model) can minimize the number of elements under the given pattern parameters. The random Chance Constrained Programmin model for minimizing Schleher Intercept Factor (MSIF-RCCP model) built on this basis can be used to achieve DRNLS optimal control of LPI performance on the premise of ensuring system tracking performance requirements. The results show that when RCS has some randomness, its corresponding uniform power distribution result is not necessarily the optimal scheme. Under the condition of meeting the same tracking performance, the required number of elements and power will be reduced to a certain extent compared with the number of elements in the whole array and the power corresponding to the uniform distribution. The lower the confidence level is, the more times the threshold is allowed to pass, and the lower the power is, so that the DRNLS can have better LPI performance.<\/jats:p>","DOI":"10.3390\/s23052613","type":"journal-article","created":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T02:01:51Z","timestamp":1677549711000},"page":"2613","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Joint Aperture and Power Allocation Strategy for a Radar Network Localization System Based on Low Probability of Interception Optimization"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1641-7778","authenticated-orcid":false,"given":"Chenyan","family":"Xue","sequence":"first","affiliation":[{"name":"Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"},{"name":"Leihua Electronic Technology Research Institute, Aviation Industry Corporation of China, Wuxi 214063, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7140-430X","authenticated-orcid":false,"given":"Ling","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}]},{"given":"Daiyin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3961","DOI":"10.1109\/TNNLS.2021.3055147","article-title":"Learning knowledge graph embedding with heterogeneous relation attention networks","volume":"33","author":"Li","year":"2021","journal-title":"IEEE Trans. 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