Model-Based Kalman Filter Design on an FPGA

Mehmet Ordubag; Berna Örs

doi:10.23919/ELECO54474.2021.9677746

Model-Based Kalman Filter Design on an FPGA

Mehmet Ordubag, Berna Örs

ASELSAN Inc.

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

This paper presents a design and real-time implementation of Kalman Filter on hardware considering a model-based approach. The filter is designed with different data types in the MATLAB Simulink environment using the Model Composer Blocks Library. After automatic code generation with Model Composer, the designed filter is exported to Vivado Design Suite as Intellectual Property (IP). Verification of the design is carried out on Field Programmable Gate Array (FPGA). By comparing the reference MATLAB model and realization on hardware, the design is verified for data accuracy. Moreover, performance outcomes for real-time applications like timing and utilization analyses are examined.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	157-161
Sayfa sayısı	5
ISBN (Elektronik)	9786050114379
DOI'lar	https://doi.org/10.23919/ELECO54474.2021.9677746
Yayın durumu	Yayınlandı - 2021
Harici olarak yayınlandı	Evet
Etkinlik	13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Süre: 25 Kas 2021 → 27 Kas 2021

Yayın serisi

Adı	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Ülke/Bölge	Turkey
Şehir	Virtual, Bursa
Periyot	25/11/21 → 27/11/21

Bibliyografik not

Publisher Copyright:
© 2021 Chamber of Turkish Electrical Engineers.

Belgeye Erişim

10.23919/ELECO54474.2021.9677746

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ordubag, M., & Örs, B. (2021). Model-Based Kalman Filter Design on an FPGA. In 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 (pp. 157-161). (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELECO54474.2021.9677746

@inproceedings{9e9f0c7412a340829c652a20ff082119,

title = "Model-Based Kalman Filter Design on an FPGA",

abstract = "This paper presents a design and real-time implementation of Kalman Filter on hardware considering a model-based approach. The filter is designed with different data types in the MATLAB Simulink environment using the Model Composer Blocks Library. After automatic code generation with Model Composer, the designed filter is exported to Vivado Design Suite as Intellectual Property (IP). Verification of the design is carried out on Field Programmable Gate Array (FPGA). By comparing the reference MATLAB model and realization on hardware, the design is verified for data accuracy. Moreover, performance outcomes for real-time applications like timing and utilization analyses are examined.",

author = "Mehmet Ordubag and Berna {\"O}rs",

note = "Publisher Copyright: {\textcopyright} 2021 Chamber of Turkish Electrical Engineers.; 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 ; Conference date: 25-11-2021 Through 27-11-2021",

year = "2021",

doi = "10.23919/ELECO54474.2021.9677746",

language = "English",

series = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "157--161",

booktitle = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

address = "United States",

}

Ordubag, M & Örs, B 2021, Model-Based Kalman Filter Design on an FPGA. in 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Institute of Electrical and Electronics Engineers Inc., pp. 157-161, 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Virtual, Bursa, Turkey, 25/11/21. https://doi.org/10.23919/ELECO54474.2021.9677746

Model-Based Kalman Filter Design on an FPGA. / Ordubag, Mehmet; Örs, Berna.
2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 157-161 (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

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AU - Örs, Berna

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AB - This paper presents a design and real-time implementation of Kalman Filter on hardware considering a model-based approach. The filter is designed with different data types in the MATLAB Simulink environment using the Model Composer Blocks Library. After automatic code generation with Model Composer, the designed filter is exported to Vivado Design Suite as Intellectual Property (IP). Verification of the design is carried out on Field Programmable Gate Array (FPGA). By comparing the reference MATLAB model and realization on hardware, the design is verified for data accuracy. Moreover, performance outcomes for real-time applications like timing and utilization analyses are examined.

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T3 - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

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BT - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

Y2 - 25 November 2021 through 27 November 2021

ER -

Model-Based Kalman Filter Design on an FPGA

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