Skip to main content

Implementation of Kalman Filter to Monitor the Level Fluctuations in a Dam Using FPGA

  • Conference paper
  • First Online:
Recent Advancements in System Modelling Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 188))

Abstract

In this paper we study the design, implementation and evaluate the performance of a Kalman filter using FPGA. It is essential to be familiar with minimum mean square error filtering and state space methods. It is important that the set of equations, their relevance to one another and indeed the overall functionality of the algorithm that defines the Kalman filter require complete understanding. The filter will be implemented with field programmable gate arrays (FPGA), to monitor the level fluctuations for a dam/reservoir.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kleeman L (1995) Understanding and applying Kalman filtering. Department of Electrical and Computer Systems Engineering Monash University, Clayton

    Google Scholar 

  2. Kleinbauer R (2004) Kalman filtering implementation in MATLAB, study report in the field of study geodesy and geoinformatics. Universtat Stuttgart, Helsinki

    Google Scholar 

  3. Pasricha R, Sharma S (2009) An FPGA—based design of fixed-point Kalman filter. DSP J 9(1):1–9

    Google Scholar 

  4. Welch G, Bishop G (2001) An introduction to Kalman filtering. TR 95-041

    Google Scholar 

  5. Simon D (2001) Kalman filtering. Embed Syst Program

    Google Scholar 

  6. Cornell (2008) Kalman filter tank filling, subject MI63

    Google Scholar 

  7. Sorensen H (1985) Kalman filtering: theory and applications. IEEE Press, Los Alamitos

    Google Scholar 

  8. Chen G, Li G (2005) The FPGA implementation of Kalman filter. University of Science and Technology of China, China

    Google Scholar 

  9. Chi-Jui C, Mohanakrishnan S, Evans JB (1994) FPGA implementation of digital filters. University of Kansas, Lawrence, pp 66045–2228

    Google Scholar 

  10. Vij V, Mehra R (2011) FPGA based Kalman filter for wireless sensor networks. Lawrence

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Shashank .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer India

About this paper

Cite this paper

Shashank, K., Ravi, N., Rakshith, M., Alamelu, J.V. (2013). Implementation of Kalman Filter to Monitor the Level Fluctuations in a Dam Using FPGA. In: Malathi, R., Krishnan, J. (eds) Recent Advancements in System Modelling Applications. Lecture Notes in Electrical Engineering, vol 188. Springer, India. https://doi.org/10.1007/978-81-322-1035-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-1035-1_2

  • Published:

  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-1034-4

  • Online ISBN: 978-81-322-1035-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics