This paper proposes a decentralised vector field guidance algorithm for coordinated standoff tracking of a ground moving target by multiple UAVs. In particular, this study introduces additional adaptive terms in an existing sliding mode control concept for standoff tracking guidance, in order to reduce the effect of unmodelled dynamics and disturbances. Decentralised angular separation control ...

This paper presents the first progress made at FGAN/FHR-RWA towards the development of a robust autonomous method for the tracking of space objects with the Tracking and Imaging Radar (TIRA). For the acquisition phase an algorithm based on a Least-Squares Estimation of the state vector and f and g series will be presented and tested. For the tracking phase the suitability of the Extended Kalman...

This paper proposes a framework to track faces in image sequences in a video. The technique combines face detection through using Support Vector Machine (SVM) with target tracking through using a Kalman filter. The adjacent locations of the target point are predicted in a search window that reduces the number of image regions that are candidates for faces. Thus, the method can predict the objec...

This paper addresses the high-precision tracking of mechanical systems with friction effect. A simple integrated proportional-derivative (PD) scheme is proposed where a support vector machine is incorporated to deal with friction. The bounded tracking is proved with Lyapunov’s direct method and the bound of tracking error can be made arbitrarily small by selecting large control gains. A major a...

Recursive methods for subspace tracking with applications to 'on-line' direction of arrival estimation, have lately drawn considerable interest. In this paper, Instrumental Variable (IV) generalizations of the Projection Approximation Subspace Tracking (PAST) algorithm are proposed. The IV-approach is motivated by the fact that PAST delivers biased estimates when the noise vectors are not spati...

In this paper, a method of pitch tracking based on variance minimization of locally periodic subsamples of an acoustic signal is presented. Replicates along the length of the periodically sampled data of the signal vector are taken and locally averaged sample variances are minimized to estimate the fundamental frequency. Using this method, pitch tracking of any text independent voiced signal is...

In this paper we propose a new configuration of the wind farm connecting with an electrical grid. The proposed Wind Energy Conversion System (WECS) is based on a two stages six-leg matrix converter using to drive a two Doubly Fed Induction Machines operating at different wind speeds. Each Doubly Fed Induction Generator (DFIG) is controlled through the rotor currents using the Finite Set Model P...

Feature tracking algorithms have conventionally tracked ‘corner’ features or windows with high spatial frequency content. However, this conventional point feature representation of scenes would be inappropriate for poorly textured image sequences like indoor image sequences. To overcome this problem, we propose a feature tracking algorithm which tracks point features and edgelets simultaneously...

A micron-precision optical alignment system (OASys) for the PHENIX muon tracking chambers is developed. To ensure the required mass resolution of vector meson detection, the relative alignment between three tracking station chambers must be monitored with a precision of 25μm. The OASys is a straightness monitoring system comprised of a light source, lens and CCD camera, used for determining the...

In this paper, a method of pitch tracking based on variance minimization of locally periodic subsamples of an acoustic signal is presented. Replicates along the length of the periodically sampled data of the signal vector are taken and locally averaged sample variances are minimized to estimate the fundamental frequency. Using this method, pitch tracking of any text independent voiced signal is...