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\begin{document}

\title{An improved robust filter algorithm for maneuvering target tracking with
the unknown time-varying noise covariance}



\author[1]{Tianhao Liu}%
\author[1]{Xi Chen}%
\author[1]{Naichang Yuan}%
\affil[1]{National University of Defense Technology}%


\vspace{-1em}



  
  \date{June 17, 2024}


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\selectlanguage{english}
\begin{abstract}
In the real environment, the unstable radar measurement noise can
degrade the tracking performance of the maneuvering target. In this
Letter, the iterative formulation of the noise is simplified, and the
noise-adaptive matrix is introduced to calculate the fading factor of
the strong tracking algorithm, so that the effect of measurement noise
on the fading factor can be corrected in real time. The superior
performance of the proposed method is verified by comparison with three
existing improved methods on a typical example.%
\end{abstract}%



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\textbf{Hosted file}

\verb`An improved robust filter algorithm for maneuvering target tracking with the unknown time-varying noise covariance.docx`  available at \url{https://authorea.com/users/500069/articles/588203-an-improved-robust-filter-algorithm-for-maneuvering-target-tracking-with-the-unknown-time-varying-noise-covariance}

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