TRACKING TARGETS USING ADAPTIVE KALMAN FILTERING

被引：46
作者：
GUTMAN, PO
VELGER, M
机构：
[1] El-Op Electro-optics Industries, Ltd., Rehovot 76110
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1990年 / 26卷 / 05期
关键词：
D O I：
10.1109/7.102704
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A simple algorithm is suggested to estimate the unknown process noise variance of an otherwise known linear plant, using a Kaiman filter. The process noise variance estimator is essentially dead beat, employing the difference between the expected prediction error variance, computed in the Kaiman filter, and the measured prediction error variance. The estimate is used to adapt the Kaiman filter. The use of the adaptive filter is demonstrated in a simulated example where a wildly maneuvering target is tracked. © 1990 IEEE
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页码：691 / 699
页数：9
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