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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kleeman L (1995) Understanding and applying Kalman filtering. Department of Electrical and Computer Systems Engineering Monash University, Clayton
Kleinbauer R (2004) Kalman filtering implementation in MATLAB, study report in the field of study geodesy and geoinformatics. Universtat Stuttgart, Helsinki
Pasricha R, Sharma S (2009) An FPGA—based design of fixed-point Kalman filter. DSP J 9(1):1–9
Welch G, Bishop G (2001) An introduction to Kalman filtering. TR 95-041
Simon D (2001) Kalman filtering. Embed Syst Program
Cornell (2008) Kalman filter tank filling, subject MI63
Sorensen H (1985) Kalman filtering: theory and applications. IEEE Press, Los Alamitos
Chen G, Li G (2005) The FPGA implementation of Kalman filter. University of Science and Technology of China, China
Chi-Jui C, Mohanakrishnan S, Evans JB (1994) FPGA implementation of digital filters. University of Kansas, Lawrence, pp 66045–2228
Vij V, Mehra R (2011) FPGA based Kalman filter for wireless sensor networks. Lawrence
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)