This paper revisits the problems of estimating the position of an object moving in n (≥ 2)-
dimensional Euclidean space using velocity measurements and either direction or range …

A modular nonlinear observer for inertial navigation aided by pseudo-range measurements
is designed and analyzed. The attitude observer is based on a recent nonlinear …

A common assumption in long baseline underwater acoustic navigation is that the speed of
sound is available. This quantity depends on the medium and it is usually measured or …

This paper proposes a novel one-way-travel-time long baseline filtering system that includes
the estimation of the clocks' offset, which is assumed constant. Considering discrete-time …

This paper proposes a novel integrated navigation filter based on a combined long
baseline/ultra short baseline acoustic positioning system with application to underwater …

This article considers the problem of constructing an observer for estimating position,
velocity, attitude, underwater wave speed, rate sensor bias, and accelerometer bias that has …

Vehicle states and the road friction coefficient in active safety control systems have become
increasingly prominent. However, a low‐cost, high‐precision system in real‐time has yet to …

The estimation of a vehicle's position and velocity based on measurements of pseudoranges
and range-rates is a nonlinear filtering problem. We utilize a linearized Kalman filter with …

A global nonlinear algebraic transform of nonlinear pseudorange measurement equations
enables navigation solutions based on a globally valid linear time-varying measurement …

A dual unscented Kalman filter (DUKF) is used to estimate the state and the parameter
simultaneously via two parallel unscented Kalman filters. The original DUKF usually has …