{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T03:48:09Z","timestamp":1648698489062},"reference-count":12,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","funder":[{"name":"Scientific Research Fund of Hunan Provincial Education Department","award":["14A016"],"award-info":[{"award-number":["14A016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:p> A modified interacting multiple model (IMM) method called spherical simplex unscented Kalman filter-based jumping and static IMM (SSUKF-JSIMM) is proposed to solve the problem of nonlinear filtering with unknown continuous system parameter. SSUKF-JSIMM regards the continuous system parameter space as a union of disjoint regions, and each region is assigned to a model. For each model, under the assumption that the parameter belongs to the corresponding region, one sub-filter is used to estimate the parameter and the state when the parameter is presumed to be jumping, and another sub-filter is used to estimate the parameter and the state when the parameter is presumed to be static. Considering that spherical simplex unscented Kalman filter (SSUKF) is more suitable for a real-time system than the unscented Kalman filter (UKF), SSUKFs are adopted as the sub-filters of SSUKF-JSIMM. Results of the two SSUKFs are fused as the estimation output of the model. Experimental results show that SSUKF-JSIMM achieves higher performance than IMM, SIR, and UKF in bearings-only tracking problem. <\/jats:p>","DOI":"10.1142\/s0218001418500106","type":"journal-article","created":{"date-parts":[[2017,7,26]],"date-time":"2017-07-26T02:10:03Z","timestamp":1501035003000},"page":"1850010","source":"Crossref","is-referenced-by-count":0,"title":["Spherical Simplex Unscented Kalman Filter-Based Jumping and Static Interacting Multiple Model"],"prefix":"10.1142","volume":"32","author":[{"given":"Yi","family":"Pan","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, Changsha University, Changsha, Hunan 410022, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Changsha University, Changsha, Hunan 410022, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keke","family":"He","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Changsha University, Changsha, Hunan 410022, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2017,12,13]]},"reference":[{"key":"S0218001418500106BIB001","first-page":"89","volume":"86","author":"Bistrovs V.","year":"2015","journal-title":"Elektron. Elektrotechn."},{"key":"S0218001418500106BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/9.1299"},{"key":"S0218001418500106BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2005.01.010"},{"key":"S0218001418500106BIB004","unstructured":"R. O. Duda,  P. E. Hart and  D. G. Stork,  Pattern Classification, 2nd edn.  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