@inproceedings{dad166f814bd45edb367210a2f38a1d1,
title = "Constrained multiple model maximum a posteriori estimation using list Viterbi algorithm",
abstract = "This paper proposes a new approach for constrained multiple model (MM) maximum a posteriori (MAP) estimation through the expectation-maximization (EM) method by using our previously developed constrained sequential list Viterbi algorithm (CSLVA). The approach is general and applicable for any type of constraints provided they are verifiable. Specific algorithms for implementation are designed, and the performance of the proposed method is illustrated by simulation.",
keywords = "Constrained estimation, Expectation-maximization, MAP, Multiple-model, direct-search optimization, sequential list Viterbi algorithm, trellis",
author = "Jilkov, \{Vesselin P.\} and Ledet, \{Jeffrey H.\} and \{Rong Li\}, X.",
note = "Publisher Copyright: {\textcopyright} 2017 International Society of Information Fusion (ISIF).; 20th International Conference on Information Fusion, Fusion 2017 ; Conference date: 10-07-2017 Through 13-07-2017",
year = "2017",
month = aug,
day = "11",
doi = "10.23919/ICIF.2017.8009649",
language = "英语",
series = "20th International Conference on Information Fusion, Fusion 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "20th International Conference on Information Fusion, Fusion 2017 - Proceedings",
}