Performance evaluation of adaptive H-infinity filter

Authors

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

Keywords:

Target Tracking, Sliding Window, Position Fit Error, Multi-sensor Data Fusion, Adaptive H-infinity Filter

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.

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References

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Published

2017-11-06

How to Cite

Verma, R., & J.R., R. (2017). Performance evaluation of adaptive H-infinity filter. International Research Journal of Engineering, IT & Scientific Research, 3(6), 56–67. Retrieved from https://sloap.org/journals/index.php/irjeis/article/view/10

Issue

Section

Research Articles