TRACKING A MANEUVERING TARGET USING INPUT ESTIMATION
TRACKING A MANEUVERING TARGET USING INPUT ESTIMATION
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DOI：
10.1109/taes.1987.310826
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发表时间：
1987-05-01
影响因子：
4.4
通讯作者：
BOGLER, PL
中科院分区：
文献类型：
--
作者：
BOGLER, PL
传统的卡尔曼跟踪滤波器在飞行员诱导目标机动时会产生平均跟踪误差。Chan，Hu和Plant提出了一种解决这个问题的方法，该方法使用残差新息序列的平均偏差对卡尔曼滤波器进行校正。本文对一维卡尔曼滤波器的情况作了进一步的发展，对于一维卡尔曼滤波器，存在一个可实现的封闭形式的递归关系。仿真结果表明，Chan，Hu和Plant方法可以在各种机动模型和雷达参数下准确地检测和校正加速度突变。此外，列入这个逻辑到一个多假设跟踪系统的简要概述。
The conventional Kalman tracking filter incurs mean tracking errors in the presence of a pilot-induced target maneuver. Chan,Hu, and Plant proposed a solution to this problem which used themean deviations of the residual innovation sequence to make corrections to the Kalman filter. This algorithm is further developedhere for the case of a one-dimensional Kalman filter, for which an Implementable closed-form recursive relation exists. Simulation results show that the Chan, Hu, and Plant method can accurately detect and correct an acceleration discontinuity under a variety of maneuver models and radar parameters. Also, the inclusion of thislogic into a multiple hypothesis tracking system is briefly outlined.