Reliability of Extended Kalman Filtering Technic on Vehicle Mass Estimation

Estimation of Vehicle Mass Using an Extended Kalman Filter

Vehicle mass is an important parameter when developing features which improve drivability and performance feel for passenger cars. A vehicle’s mass naturally depends on the load and the number of passengers. Therefore it is desired to have a fast, accurate and robust mass estimation algorithm. In this thesis an extended Kalman filter is used to estimate the mass of a passenger car. The filter u...

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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...

Configuration Estimation of Gough-stewart Platforms Using Extended Kalman Filtering

This paper develops extended Kalman filtering algorithms for a generic Gough-Stewart platform assuming realistically available sensors such as length sensors, rate gyroscopes, and accelerometers. The basic idea is to extend existing methods for satellite attitude estimation. The nondeterministic methods are meant to be a practical alternative to existing iterative, deterministic methods for rea...

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...