High Speed Federated Filter Design and Implementation

Abstract:

The theory of federal filter based on the Kalman filter is investigated in the design process, as well as the federal filter information distribution. Considering the advantage of parallel computing structure, the FPGA chip is selected and used to realize the IP core encapsulation and design of Federated Filter. The filtering speed is greatly improved to meet federal filter integrated navigation system. A group simulation experiments are conducted. The results shown that the filtering accuracy and filtering time of federal filter are both improved using the proposed method.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 2535-2539
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.2535
• Online since: May 2013
• Authors: K.B Zhang, J.M Gao, P.L Jiang
• Keywords: Double Precision, Federated Filter, Field-Programmable Gate Array (FPGA), Kalman Filter (KF)

References

[1] Xue Bai, De-Ming Wang, Jun-Jun Tu, Bu-Hui Zhao. The hardware design and simulation of kalman filter based on IP core and time-sharing multiplex[J]: 4th International Conference on Intelligent Computation Technology and Automation. Vol.2, 2011. pp.266-269.

DOI: 10.1109/icicta.2011.353

[2] Liu Yang, Bouganis, Christos-Savvas, Cheung, Peter Y. K. Efficient mapping of a Kalman filter into an FPGA using Taylor expansion[J]: 2007 International Conference on Field Programmable Logic and Applications, FPL. pp.345-350.

DOI: 10.1109/fpl.2007.4380670

[3] Bonato Vanderlei, Peron Rafael, Wolf Denis F, De Holanda, Jose A. M, Marques Eduardo, Cardoso João M. P. An FPGA implementation for a Kalman filter with application to mobile robotics[J]: 2007 Symposium on Industrial Embedded Systems Proceeedings. pp.148-155.

DOI: 10.1109/sies.2007.4297329

[4] Jianhong Wu, Hongcai Zhang. Data fusion algorithm design of GPS/IMU based on fuzzy adaptive federated Kalman filter[J]: Proceedings of the 2009 2nd International Congress on Image and Signal Processing. October 17, 2009.

DOI: 10.1109/cisp.2009.5301061

[5] Zhonghua Zhao, Jiujun Zhen. Federated Kalman Filter and Its Application to GPSIDR Integrated Navigation System[J]: 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference. Vol.1, pp.696-700.

DOI: 10.1109/csqrwc.2011.6037047

[6] Li Xu, Zhang Weigong. Reliable integrated navigation system based on adaptive fuzzy federated Kalman filter for automated vehicles[J]: Proceedings of the Institution of Mechanical Engineers, Part D. Vol.224. March 1,2010. pp.327-346

DOI: 10.1243/09544070jauto1281

[7] G. Abdelhamid, Moufida; Aoun, Mohamed; Najar, Slaheddine; Abdelhamid, Mohamed Naceur. Discrete fractional Kalman filter[J]: 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing. Vol.2. Issue. Part1.

DOI: 10.3182/20090921-3-tr-3005.00090

[8] Information on http://www.opencores.org