Hidden Markov Model Based Variable Structured Multiple Model Algorithm

被引：0

作者：

Turhan, Hasan Ihsan ^{[1
]}

Acar, Duygu ^{[1
]}

Ayana, Nuri Baran ^{[1
]}

Ahiska, Kenan ^{[1
]}

Demirekler, Mubeccel ^{[2
]}

机构：

[1] Aselsan AS, Savunma Sistem Teknol Sektor Baskanligi SST, Ankara, Turkey

[2] Orta Dogu Tekn Univ, Elekt Elekt Muhendisligi Bolumu, Ankara, Turkey

来源：

2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2020年

关键词：

multiple model estimation; variable structure multiple model estimation; radar target tracking; Hidden Markov Model; dynamic programming; TARGET TRACKING;

D O I：

10.1109/siu49456.2020.9302517

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：4

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