The FPGA implementation of Kalman filter

Authors:
Gang Chen;Li Guo
Affiliations:
Department of Electronic Science and Technology, University of Science & Technology of China, China;Department of Electronic Science and Technology, University of Science & Technology of China, China
Venue:
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Year:
2005

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Abstract

Based on the fact that Faddeev's algorithm can be easily mapped into the Systolic array for implementing. An FPGA implementation of Kalman Filter using Modified Faddeev [1] is proposed The Modified Faddeev uses Neighbor pivoting for triangularization substituting the Gaussian elimination. Gaussion elimination may cause the overflow of the datas, and Neighbor pivoting can guarantee the stability of data stream. Moreover due to apply the technology of resource sharing, we use one trapezoidal array instead of bitrapezoidal array [2], thus reducing the silicon area. Techniques employed for data skewing and storage organization are efficient, then reducing the complexity of control and increasing the speed of computation.