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Adv. Signal Process."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Current resolvable group targets tracking algorithms can only track a small number of group targets assuming the standard deviation vectors (SDVs) are known. Based on generalized labeled multi-Bernoulli filter, this paper first proposes a serial tracking algorithm, in order to save the computational cost of filter tracking large-batch and multi-structure group targets. Then, the least squares and the <jats:italic>k<\/jats:italic>-means algorithms are used to jointly estimate the SDVs and the group target states. The experimental simulation results verify the effectiveness of the proposed methods.<\/jats:p>","DOI":"10.1186\/s13634-022-00929-5","type":"journal-article","created":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T07:42:42Z","timestamp":1667893362000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Parameter estimation and tracking algorithm for resolvable group targets based on GLMB filter and RLS algorithm"],"prefix":"10.1186","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9537-8767","authenticated-orcid":false,"given":"Weifeng","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiliang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhangming","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,8]]},"reference":[{"issue":"2","key":"929_CR1","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1109\/TSP.2009.2032991","volume":"58","author":"D Orlando","year":"2009","unstructured":"D. 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