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Firstly, the kinematics model for the pursuer and the target is established. Secondly, the proportional navigation law is deduced through the kinematics model. Based on point\u2010to\u2010point navigation, obstacle avoidance is implemented by adjusting the control parameters, and the combination can enrich the application range of obstacle avoidance and guidance laws. Thirdly, information fusion weighted by diagonal matrices is used for decreasing the tracking precision. Finally, simulations are conducted in the MATLAB environment. Simulation results verify the availability of the proposed navigation law.<\/jats:p>","DOI":"10.1155\/2021\/6245168","type":"journal-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T17:22:20Z","timestamp":1634836940000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2437-6227","authenticated-orcid":false,"given":"Shulin","family":"Feng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhanxin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanhua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaohuan","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,10,21]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/taes.2015.140432"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.2514\/1.g001681"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1002\/asjc.1205"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/tie.2011.2130491"},{"key":"e_1_2_11_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-009-0407-1"},{"key":"e_1_2_11_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2017.2651371"},{"key":"e_1_2_11_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/tcst.2016.2558479"},{"key":"e_1_2_11_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2019.04.013"},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2019.2938601"},{"key":"e_1_2_11_10_2","doi-asserted-by":"publisher","DOI":"10.2514\/1.g003860"},{"key":"e_1_2_11_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.actaastro.2019.05.031"},{"key":"e_1_2_11_12_2","doi-asserted-by":"publisher","DOI":"10.1163\/156855307780132036"},{"key":"e_1_2_11_13_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/9642892"},{"key":"e_1_2_11_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2019.227118"},{"key":"e_1_2_11_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2004.01.014"},{"key":"e_1_2_11_16_2","first-page":"52","article-title":"Two-sensor information fusion steady-state kalman filter weighted by diagonal matrices","volume":"21","author":"Gao Y.","year":"2004","journal-title":"Science Technology and Engineering"},{"key":"e_1_2_11_17_2","volume-title":"Optimal Estimation Theory with Applications","author":"Deng Z. 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