Performance Evaluation of Adaptive H-Infinity Filter

  • Reshma Verma Asst. Professor, Dept. of Electronics and Communications, MSRIT, and Research Scholar, Jain University, Bangalore
  • Jitendra, R, Raol Prof. Emeritus, MSRIT, Bangalore

Abstract

This study is related to the use of adaptive H-infinity filter  for multi sensor data fusion ( based tracking. AHIF can work efficiently in the presence of uncertainties using sliding window concept. In the present use of , the length of window size is varied to eliminate/minimize the estimation errors and predict almost precise location of a target. Simulation experiments are conducted to evaluate performance of  in comparison with Kalman and H-Infinity filters for mild and evasive maneuvering targets.  Performs better in terms location accuracy and position fit error.

Published
2017-11-03
How to Cite
VERMA, Reshma; RAOL, Jitendra, R,. Performance Evaluation of Adaptive H-Infinity Filter. International Research Journal of Engineering, IT & Scientific Research, [S.l.], v. 3, n. 6, p. 56-65, nov. 2017. ISSN 2454-2261. Available at: <http://ijcu.us/online/journal/index.php/irjeis/article/view/562>. Date accessed: 22 nov. 2017. doi: https://doi.org/10.21744/irjeis.v3i6.562.