Fixed-lag alpha-beta filter for target trajectory smoothing

被引：17

作者：

Ogle, TL ^{[1
]}

Blair, WD ^{[1
]}

机构：

[1] Georgia Inst Technol, Georgia Tech Res Inst, Sensors & Electromagnet Applicat Lab, Atlanta, GA 30332 USA

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2004年 / 40卷 / 04期

关键词：

D O I：

10.1109/TAES.2004.1386894

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

A fixed-lag Kalman smoother, can be used for target trajectory reconstruction in postmission data analysis from noisy sensor data, where, lag is the time difference between the time of he latest available measurement (or the latest measurement used for estimation) and the time of the smoothed estimate. Based on the steady-state conditions of a Kalman smoother, a recursive method for calculating the steady-state gains and covariance matrix of a fixed-lag alpha-beta smoother is derived and presented. The equations derived for the alpha-beta fixed-lag smoother were verified using a Kalman smoother in steady-state, and the results are used to characterize the benefits achieved with fixed-lag smoothing.

引用

页码：1417 / 1421

页数：5

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