For indoor localization based on wireless sensor networks, the transmission of wireless
signals can be disrupted by obstacles and walls. This situation, called non-line-of-sight …

This paper is concerned with the extended Kalman filtering problem for a class of stochastic
nonlinear systems under cyber attacks, wherein the discussed cyber attacks occur in a …

Sensor fusion of inertial navigation system (INS) and ultrawideband (UWB) technology is an
effective approach to enhance the accuracy and robustness of indoor pedestrian tracking …

For SINS/CNS integrated navigation system, the CKF can perform well for state estimation in
Gaussian noise. However, its performances are likely to degrade significantly under non …

Horizon size is an important parameter that affects the estimation performance of finite
impulse response (FIR) filters. In this brief, we propose a novel adaptive horizon approach …

This paper proposes a new algorithm for estimating the resonant frequency of adaptive
notch filters used in servo systems. Notch filters and adaptive notch filters are widely used in …

A seamless indoor pedestrian tracking scheme using a least square-support vector machine
(LS-SVM) assisted unbiased finite impulse response (UFIR) filter is designed to achieve …

To provide stable and accurate position information of control points in a complex coastal
environment, an adaptive iterated extended Kalman filter (AIEKF) for fixed-point positioning …

This paper presents a new filtering algorithm, switching extended Kalman filter bank
(SEKFB), for indoor localization using wireless sensor networks. SEKFB overcomes the …

This paper presents a new discrete derivative method for adaptive notch filter (ANF)-based
frequency estimators. ANF-based frequency estimators are widely used for online frequency …