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These criteria are used to investigate the efficiency of the identification problem solution, depending on the initial data, and to carry out a comparative analysis of various suboptimal algorithms. The calculation procedure is based on an algorithm that solves the joint problem of hypothesis recognition and parameter estimation within the Bayesian approach. A performance analysis of the models traditionally used to describe errors of inertial sensors is given to illustrate the application of the procedure for the calculation of performance criteria.<\/jats:p>","DOI":"10.3390\/s19091997","type":"journal-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T02:57:32Z","timestamp":1556506652000},"page":"1997","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Performance Criteria for the Identification of Inertial Sensor Error Models"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3640-3760","authenticated-orcid":false,"given":"Oleg","family":"Stepanov","sequence":"first","affiliation":[{"name":"CSRI Elektropribor, JSC, ITMO University, 190000 Saint Petersburg, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2093-5079","authenticated-orcid":false,"given":"Andrei","family":"Motorin","sequence":"additional","affiliation":[{"name":"CSRI Elektropribor, JSC, ITMO University, 190000 Saint Petersburg, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Sarkka, S. 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