Title : ( High Maneuver Target Tracking Based on Combined Kalman Filter and Fuzzy Logic )
Authors: M. H. Baharil , Ali Karsaz , Hamid Khaloozadeh ,
Full TextAbstract
In this paper, a new combined scheme is presented to overcome some drawbacks of the high maneuvering target tracking problems by using the mixed Fuzzy logic and the standard Kalman filter. This scheme is consist of two important aspects; at first absolute value of difference between last target course and the present observation target course and the second aspect is the absolute value of measurement residual. The results compared with the augmented method and another combined fuzzy logic method which have been reported in [8] and [16], respectively. Simulation results show a high performance of the proposed innovation method and effectiveness of this scheme in high maneuvering targets tracking problems.
Keywords
Target tracking;Fuzzy logic;Acceleration;Radar tracking;Bayesian methods;Filters;Recursive estimation;State estimation;Predictive models;Accelerometers
@inproceedings{paperid:1106344,
author = {M. H. Baharil and Ali Karsaz, and Hamid Khaloozadeh},
title = {High Maneuver Target Tracking Based on Combined Kalman Filter and Fuzzy Logic},
booktitle = {2007 Information, Decision and Control},
year = {2007},
location = {Adelaide, AUSTRALIA},
keywords = {Target tracking;Fuzzy logic;Acceleration;Radar tracking;Bayesian methods;Filters;Recursive estimation;State estimation;Predictive models;Accelerometers},
}
%0 Conference Proceedings
%T High Maneuver Target Tracking Based on Combined Kalman Filter and Fuzzy Logic
%A M. H. Baharil
%A Ali Karsaz,
%A Hamid Khaloozadeh
%J 2007 Information, Decision and Control
%D 2007
