Title : ( A new algorithm based on combined fuzzy logic and Kalman filter for target maneuver detection )
Authors: M.H. Bahari , Ali Karsaz , H. Khaloozadeh ,
Full TextAbstract
High maneuvering targets normally maneuver on circular paths which have lead to tracking filters on circular turns. In this paper, an innovation technique is presented to combine the tracking-maneuvering target problems using fuzzy logic and augmented Kalman filter. The proposed combined filter is composed of two automatic switching modes: one for the mild maneuver using augmented Kalman filter and the other for the high maneuver using fuzzy acceleration prediction method. It is demonstrated by means of numerical acceleration examples that the tracking capability of the proposed mixed method is essentially as good as that of the augmented method, especially at high maneuver target.
Keywords
Fuzzy logic;Filters;Target tracking;Acceleration;Bayesian methods;State estimation;Predictive models;Recursive estimation;Filtering;Uncertainty
@inproceedings{paperid:1105739,
author = {M.H. Bahari and Ali Karsaz, and H. Khaloozadeh},
title = {A new algorithm based on combined fuzzy logic and Kalman filter for target maneuver detection},
booktitle = {1st International Symposium on Systems and Control in Aerospace and Astronautics},
year = {2006},
keywords = {Fuzzy logic;Filters;Target tracking;Acceleration;Bayesian methods;State estimation;Predictive models;Recursive estimation;Filtering;Uncertainty},
}
%0 Conference Proceedings
%T A new algorithm based on combined fuzzy logic and Kalman filter for target maneuver detection
%A M.H. Bahari
%A Ali Karsaz,
%A H. Khaloozadeh
%J 1st International Symposium on Systems and Control in Aerospace and Astronautics
%D 2006
