Strictly nonwhite measurement noise (NMN) is observed in many industrial processes.
Therefore, effective smoothing is often required to extract useful information about the …

This article proposes, a novel obstacle avoidance algorithm for a mobile robot based on
finite memory filtering (FMF) in unknown dynamic environments. To overcome the limitations …

The finite impulse response (FIR) approach is known to be more robust than the Kalman
approach. In this paper, we derive a batch-lag maximum likelihood (ML) FIR smoother for full …

Accurate indoor localization information of the quadrotor plays an important role in many
Internet-of-Things applications. To improve the estimation accuracy and robustness, a fixed …

This paper provides a comparative analysis for robustness of the Kalman filter (KF), H∞ filter
derived using the game theory, and unbiased finite impulse response (UFIR) filter, which …

For the target-tracking problem, full state of the target may not be available since it may be
expensive or impossible to obtain. Thus, the state needs to be reconstructed or estimated …

For human navigation, the ultra wide band (UWB)-based positioning technologies require
extra infrastructure, while the inertial navigation system (INS)-based ones produce drift …

In indoor robot localization by using ultra-wideband (UWB), the extended Kalman filter (EKF)-
based algorithms suffer from the colored measurement noise (CMN) that degrades the …

An unbiased finite impulse response (UFIR) filtering algorithm is designed in the discrete-
time state-space for industrial processes with unknown measurement data covariance. By …

In this article, the multipass optimal finite impulse response (OFIR) filtering approach is
developed for industrial processes with unknown initial conditions under temporary model …