DocumentCode :
290597
Title :
A single Kalman filtering algorithm for maneuvering target tracking
Author :
Liu, Chi-Min ; Wu, Kuo-Guan ; Sheu, Jer-Heh
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
iii
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
Maneuvering tracking involves tracking a target that is suddenly accelerated by the pilot. Two approaches have been proposed for maneuvering target tracking: the residual-based approach and the multiple-model approach. The latter approach provides better tracking performance but has higher computational complexity compared with the former one. The authors present a new maneuvering tracking algorithm which combines the benefits of both approaches so that the tracking accuracy is comparable with that of the multiple-model approach and the complexity with that of the residual-based approach
Keywords :
Kalman filters; aircraft; computational complexity; filtering theory; target tracking; Kalman filtering algorithm; computational complexity; maneuvering target tracking; multiple-model approach; residual-based approach; tracking performance; Acceleration; Computational complexity; Computer science; Councils; Filtering algorithms; Kalman filters; Predictive models; State estimation; Target tracking; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.390057
Filename :
390057
Link To Document :
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