Estimation of a Robot Vehicle Position by Kalman Filtering

Improved Vehicle Parameter Estimation Using Sensor Fusion by Kalman Filtering

− Within several applications concerning the improvement of vehicle safety, accurate systems for determination of position, velocity and acceleration are useful. We present a system for accurate determination of these parameters using a sensor fusion technique. The main focus is on how GPS carrier phase data and accelerometer data are modeled and integrated in a Kalman filter that provides both...

Unscented Kalman Filter Position Estimation for an Autonomous Mobile Robot

The Kalman filters have been widely used for mobile robot navigation and system integration. So that it may operate autonomously, a mobile robot must know where it is. Accurate localization is a key prerequisite for successful navigation in large-scale environments, particularly when global models are used, such as maps, drawings, topological descriptions, and CAD models. This paper presents th...

Applying Kalman Filtering on a Quadruped Robot

Estimation of Electrical Power Quantities by Means of Kalman Filtering

The presence of non-linear loads and the increasing number of distributed generation power systems (DGPS) in electrical grids contribute to change the characteristics of voltage and current waveforms in power systems, which differ from pure sinusoidal constant amplitude signals. Under these conditions advanced signal processing techniques are required for accurate measurement of electrical powe...

Estimation of Chirp Signals by Extended Kalman Filtering

1 Facultatea de Electronică şi Telecomunicaţii, Departamentul Comunicaţii Bd. V. Pârvan Nr. 2, 300223 Timişoara, e-mail: [email protected] 2 e-mail: [email protected] 3 e-mail: [email protected] Abstract – The paper addresses the problem of estimating the parameters of chirp signals embedded in Gaussian noise. We consider an estimation method based on an approximate linear s...