DocumentCode :
339118
Title :
An adaptive parameter model for maneuvering target tracking
Author :
Bensheng, Qiu ; Haiyi, Liu ; Youquan, Cai ; Diancheng, Zhang
Author_Institution :
PLA Gen. Hosp., Japan
fYear :
1998
fDate :
1998
Firstpage :
465
Abstract :
We first summarize the conventional maneuvering target models, such as CA/CV, Markov and Singer models. These models cannot model the maneuvering features of a target with larger estimating error and estimating delay. To solve this problem, an adaptive parameter model for maneuvering target tracking is submitted. The simulation results show that the adaptive Kalman estimator based on this model can track maneuvering targets with higher accuracy and smaller estimating delay and is suitable for online processing
Keywords :
Kalman filters; adaptive signal detection; delay estimation; filtering theory; target tracking; tracking filters; adaptive Kalman estimator; adaptive parameter model; delay estimation; error estimation; maneuvering target tracking; online processing; simulation results; Acceleration; Atmospheric modeling; Autocorrelation; Control systems; Delay estimation; Filtering; Gaussian noise; Kalman filters; State-space methods; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
Type :
conf
DOI :
10.1109/ICOSP.1998.770251
Filename :
770251
Link To Document :
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