{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:45:46Z","timestamp":1760150746863,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T00:00:00Z","timestamp":1703462400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Special Industrial Technology Research Project of Jilin Province, Research on Self-Organizing Network System of Unmanned Platform for Optoelectronic Composite Communication","award":["2022C047-8","JJKH20181130KJ"],"award-info":[{"award-number":["2022C047-8","JJKH20181130KJ"]}]},{"name":"\u201cThirteenth Five-Year Plan\u201d of Provincial Science and Technology of Education Department of Jilin Province, Research on Large-Scale D2D Access, and Traffic Balancing Technology for Heterogeneous Wireless Networks","award":["2022C047-8","JJKH20181130KJ"],"award-info":[{"award-number":["2022C047-8","JJKH20181130KJ"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A highly efficient implementation method for distributed fusion in sensor networks based on CPHD filters is proposed to address the issues of unknown cross-covariance fusion estimation and long fusion times in multi-sensor distributed fusion. This method can effectively and efficiently fuse multi-node information in multi-target tracking applications. Discrete gamma cardinalized probability hypothesis density (DG-CPHD) can effectively reduce the computational burden while ensuring computational accuracy similar to that of CPHD filters. Parallel inverse covariance intersection (PICI) can effectively avoid solving high-dimensional weight coefficient convex optimization problems, reduce the computational burden, and efficiently implement filtering fusion strategies. The effectiveness of the algorithm is demonstrated through simulation results, which indicate that PICI-GM-DG-CPHD can substantially reduce the computational time compared to other algorithms and is more suitable for distributed sensor fusion.<\/jats:p>","DOI":"10.3390\/s24010117","type":"journal-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T22:59:09Z","timestamp":1703545149000},"page":"117","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Efficient Implementation Method for Distributed Fusion in Sensor Networks Based on CPHD Filters"],"prefix":"10.3390","volume":"24","author":[{"given":"Liu","family":"Wang","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guifen","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1109\/TSP.2022.3155885","article-title":"Multi-Agent Fusion with Different Limited Fields-of-View","volume":"70","author":"Wang","year":"2022","journal-title":"IEEE Trans. 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