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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	157-161
Number of pages	5
ISBN (Electronic)	9786050114379
DOIs	https://doi.org/10.23919/ELECO54474.2021.9677746
Publication status	Published - 2021
Externally published	Yes
Event	13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Duration: 25 Nov 2021 → 27 Nov 2021

Publication series

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

Conference

Conference	13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Country/Territory	Turkey
City	Virtual, Bursa
Period	25/11/21 → 27/11/21

Bibliographical note

Publisher Copyright:
© 2021 Chamber of Turkish Electrical Engineers.

Access to Document

10.23919/ELECO54474.2021.9677746

Cite this

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

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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",

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Örs, Berna

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N2 - 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.

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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ER -

Model-Based Kalman Filter Design on an FPGA

Abstract

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Bibliographical note

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