DocumentCode :
2292839
Title :
A comparison of fixed gain IMM against two other filters
Author :
Derbez, Eric ; Remillard, Bruno ; Jouan, Alexandre
Author_Institution :
Lab. de Recherche en Probabilites et Statisque, Quebec Univ., Trois-Rivieres, Que., Canada
Volume :
2
fYear :
2000
fDate :
10-13 July 2000
Abstract :
The purpose of the paper is to present an alternative to the constant acceleration Kalman filter which requires half the computational load and yet performs almost as well as the IMM filter. The theoretical justification for this filter came from a study of the IMM filter by two of the authors (E. Derbez and B. Reimmard, 2000). The results of this study are recalled, and illustrative simulations using these filter are carried out by transforming noisy radar data into Cartesian coordinates and then applying a filter to each coordinate separately. The proposed filter is analyzed against a constant velocity, constant acceleration IMM filter, and a constant acceleration regular Kalman filter. The stability properties of each of these filters are also addressed.
Keywords :
Kalman filters; adaptive filters; digital filters; target tracking; Cartesian coordinates; IMM filter; computational load; constant acceleration IMM filter; constant acceleration Kalman filter; constant acceleration regular Kalman filter; constant velocity; fixed gain IMM; illustrative simulations; noisy radar data; stability properties; Acceleration; Computational efficiency; Gaussian approximation; Matched filters; Performance gain; Radar tracking; Stability; Switches; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
Type :
conf
DOI :
10.1109/IFIC.2000.859872
Filename :
859872
Link To Document :
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