Hidden Markov Model Based Variable Structured Multiple Model Algorithm

Date

2020-01-01

Author

Turhan, Hasan Ihsan
Acar, Duygu
Ayana, Nuri Baran
Ahıska, Kenan
Demirekler, Mübeccel

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this study, a novel methodology is proposed for more accurate target tracking. The proposed method is basically built on the merging of interacting multiple model (IMM) structures using Hidden Markov Model (HMM). Thus, more models are used than the ordinary IMM algorithm, but more accurate state vectors are estimated by selecting the most likely ones. The proposed algorithm is compared with the variable structure IMM (VSIMM) algorithm, which is the most similar methodology in the literature, in MATLAB environment and the results are presented.

URI

https://hdl.handle.net/11511/117961

DOI

https://doi.org/10.1109/siu49456.2020.9302517

Conference Name

28th Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Citation Formats

H. I. Turhan, D. Acar, N. B. Ayana, K. Ahıska, and M. Demirekler, “Hidden Markov Model Based Variable Structured Multiple Model Algorithm,” presented at the 28th Signal Processing and Communications Applications Conference (SIU), ELECTR NETWORK, 2020, Accessed: 00, 2025. [Online]. Available: https://hdl.handle.net/11511/117961.