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Institution

Saab Automobile AB

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


Papers
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Proceedings ArticleDOI
05 Jan 1993
TL;DR: In this article, a land-based, passive IR system for the detection of airborne targets has been developed at Saab Missiles, which operates in the 8 - 12 micrometers region.
Abstract: A land-based, passive IR system for the detection of airborne targets has been developed at Saab Missiles. The system operates in the 8 - 12 micrometers region. It scans 360 degree(s) in azimuth and up to 45 degree(s) in elevation and detects targets automatically. The paper describes the system in general, and in more detail the principles of the signal processing, that enable automatic detection of targets in the thermal clutter of sky and terrain background. A unique concept for rejection of false alarms from small objects at short distance (birds) is also described.

1 citations

Proceedings ArticleDOI
R. Brown1
22 Apr 2013
TL;DR: NextGen is an evolutionary process, but there are many aspects that are already here and are providing real surface efficiency benefits.
Abstract: NextGen is an evolutionary process, but there are many aspects that are already here and are providing real surface efficiency benefits.

1 citations

Proceedings Article
06 Jul 2015
TL;DR: By estimating background intensity, and using the estimate in the likelihood measure, the tracking algorithm is given the ability to adapt to the background, and the proposed method is compared to other methods on synthetic data.
Abstract: Many target tracking algorithms for radar systems assume homogeneous backgrounds of clutter. However, real backgrounds are rarely homogeneous. By estimating background intensity, and using the estimate in the likelihood measure, the tracking algorithm is given the ability to adapt to the background. In this work, a method for estimating the clutter intensity is introduced. The method is based on locally adaptive Kernel Density Estimation (KDE), where local 2D structure of the background in terms of energy and orientation controls the smoothing properties of the filter kernels. In regions with low clutter intensity, the kernel adopts low-pass characteristics, and the intensity estimate is based on observations from a larger volume. In regions where there are ridges in the clutter intensity, kernels are selected such that smoothing is carried out along ridges instead of across them. Peaks in the clutter intensity are left unsmoothed. The proposed method is compared to other methods on synthetic data. Additionally, a demonstration is given on recorded radar data.
Book ChapterDOI
01 Jan 2015
TL;DR: More and more composite materials are used within primary load carrying aircraft structures as mentioned in this paper, where the composite content has increased up to 50-60 % by weight by weight with the aim to decrease manufacturing cost.
Abstract: More and more composite materials are used within primary load carrying aircraft structures. Examples are Boeing 787 and Airbus A350XWB where the composite content has increased up to 50–60 % by weight. With the aim to decrease manufacturing cost the structures are given a higher degree of integration and complexity. More integrated structures give fewer articles and fewer steps in the manufacturing chain. In many cases new innovative design solutions are a requirement to enable integrated structures.

Authors

Showing all 760 results

NameH-indexPapersCitations
Christer Larsson6427212916
Björn Johansson6263716030
David C. Viano482328283
Thomas Schiex4713811031
Robin Hanson281143519
Per Lötstedt281092960
Brigitte Mangin26482652
Lars Hanson191171138
Carl Gustafson17341035
Magnus Carlsson1637808
Per-Johan Nordlund14262738
David Allouche1426680
Mark A. Saab13161153
Andreas Gällström1334402
Hans Hellsten1237549
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202123
202019
201925
201830
201727
201633