Saab Automobile AB

About: Saab Automobile AB is a based out in . It is known for research contribution in the topics: Radar & Signal. The organization has 760 authors who have published 890 publications receiving 11811 citations.

Anordnung zum Verhindern von mit Lagern zusammenhängenden Geräuschen bei Verbrennungsmotoren

Abstract: Verbrennungsmotor mit variabler Kompression, mit einem Kurbelwellenlager aufweisenden Kurbelgehauseteil (2) und einem Zylinder aufnehmenden Teil (6), der mittels eines Kippachsenlagers (8) auf einer Seite des Motors und eines exzentrischen Kippmechanismus (10) auf der anderen, gegenuberliegenden Seite des Motors kippbar angeordnet ist, dessen Zylinder aufnehmender Teil (6) einen Zylinderkopf (14) tragt, der mit diesem fest verbunden ist, vorzugsweise mit darin angebrachten Nockenwellen, dadurch gekennzeichnet, dass zwischen dem Kurbelgehauseteil (2) und dem Zylinder aufnehmenden Teil (6) vorspannende Bauteile (38; 50) angeordnet sind, die diese Motorteile auseinanderdrucken und dem Auftreten eines Lagerspieles in dem Kippachsenlager (8) und dem Kippmechanismus (10) entgegenwirken, wenn eine kompressionsmodifizierende Kippbewegung zwischen dem Zylinder aufnehmenden Teil (6) und dem Kurbelgehauseteil (2) bei laufendem Motor auftritt.

Automatic guided vehicle simulation: using participatory learning and genetic algorithms

Abstract: DOI: 10.14684/intertech.13.2014.84-88 This paper discusses a framework that uses computational simulation to improve the performance of unmanned aerial vehicles through the creation and the selection of better navigation rules. For such task, the approaches known as Participatory Learning System and as Genetic Algorithm will be combined. The intent is to provide the mathematical and computational structure to enable unmanned aerial vehicle learning from simulation experiences. Index Terms - Genetic Algorithm, Matlab, Participatory Learning System, Unmanned Aerial Vehicle.

Tree heights derived from radar profiles over boreal forests

Abstract: In this paper, results are presented from NOPEX-measurements over boreal forests using an helicopter-borne multi-band radar profiler. Comparisons are made between tree height profiling responses at three different frequency bands (5, 14 and 35 GHz). Values derived from radar profiles are also compared with maximum tree-height and stem volume per ha derived from ground-based measurements made in circular plots below the flight track.

Accurate emitter positioning using an adaptive method with Lagrange interpolation based on a simple MIMO system

Abstract: An adaptive Recursive algorithm based on a simple two sensor system for accurate estimation of the incident angle of a radar reflecting object or alternatively an active emitter is proposed. The overall objective is to find a low complexity method, which provides high resolution estimates and which is capable of adapting to a time varying scenario. Time delay estimation is followed by calculation of the actual incident angle. The considered simple system, comprised of two sensors only, is less complex and requires less computational power than does an array based receiver with possibly several antenna elements. An adaptive Lagrange interpolator is incorporated in order to obtain time delay estimates with a high resolution, in fractions of a sample. The possible performance of the proposed scheme is compared to time-varying lower CRB's, which are also derived here.