@article{LIU2008, 
author = {Yujing LIU and Huadong MENG and Desheng WANG},
title = {Steady-State Analysis of Target Tracker with Constant Input/Bias Constraint},
year = {2008},
journal = {Tsinghua Science and Technology},
volume = {13},
number = {1},
pages = {35-42},
keywords = {target tracking, Kalman filter, delayed update filter},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(08)70006-3},
doi = {10.1016/S1007-0214(08)70006-3},
abstract = {Navigation and surveillance applications require tracking constant input/bias targets. When the target’s trajectory follows a constant input/bias constraint, model mismatching caused by conventional tracking algorithms can be handled by a delayed update filter (DUF). The statistical convergence and stability properties of the delayed update filter were studied to insure the rationality of its steady-state analysis. A steady-state filter gain was then designed for a constant-gain DUF to reduce the computations without much performance loss. Simulations demonstrate the potential of the constant-gain DUF, and the CGDUF is nearly 60% faster than the DUF without much loss in steady-state tracking accuracy.}
}