In order to make the information transmission more efficient and reliable in a digital
communication channel with limited capacity, various encoding-decoding techniques have …

The particle filter (PF) provides a kind of novel technique for estimating the hidden states of
the nonlinear and/or non-Gaussian systems. However, the general PF always suffers from …

In this paper, the problems of state estimation are investigated for switched linear systems
with average dwell time (ADT) switching in both continuous-time and discrete-time contexts …

The primary problem of tracking filtering algorithms is the tracking stability and effectiveness
of target states. Based on the particle filter, an adaptive strong tracking particle filter …

The extended Kalman filter (EKF) as a primary integration scheme has been applied in the
Global Positioning System (GPS) and inertial navigation system (INS) integrated system …

The approaches of artificial intelligence (AI)-based has widely been utilized to provide
higher positioning precision for ship navigation by integrating the GPS with the SINS. To …

To achieve a continuous and accurate navigation solution that avoids interruption, GPS is
integrated with dead reckoning techniques such as inertial navigation and speed log. A …

This paper studies the stochastic estimation of unavailable state variables and the unknown
input of an electric vehicle (EV) driveline equipped with a novel seamless clutchless two …

In this paper, we propose a new sparse signal recovery algorithm, referred to as sparse
Kalman tree search (sKTS), that provides a robust reconstruction of the sparse vector when …

Non-stationarity is a key feature of wireless channels in high-mobility environments, such as
high speed railway, which is one of the barriers on improving the communication quality if …