MEMS-IMUs 1 are cost-effective, self-contained, small-size, low-power devices used in
various motion tracking and sensing applications. The triaxial gyroscope and accelerometer …

Phasor estimation under dynamic conditions has been under study recently by relaxing the
amplitude and phase of the static phasor. This paper will review some methods to estimate …

Abstract Integrated MIMU/GNSS/CNS (micro-electro-mechanical system-based inertial
measurement unit/global navigation satellite system/celestial navigation system) is a …

Special approaches are required to integrate low-cost MEMS-based inertial navigation
system (MEMS-INS) with global navigation satellite system (GNSS). This article proposes a …

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 …

Abstract Inertial Navigation System/Celestial Navigation System (INS/CNS) integration,
especially for the tightly-coupled mode, provides a promising autonomous tactics for …

This paper presents a new optimal data fusion methodology based on the adaptive fading
unscented Kalman filter for multi-sensor nonlinear stochastic systems. This methodology has …

SINS/GPS integrated systems are influenced by non-Gaussian noise and unknown
measurement noise due to exogenous disturbances and inaccurate noise statistics. To …

In the engineering applications, Kalman filter (KF) is the most commonly used for INS/GPS
integration. This KF-based integration is prone to divergence because of two typical …

GNSS information is vulnerable to external interference and causes failure when unmanned
aerial vehicles (UAVs) are in a fully autonomous flight in complex environments such as …