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Institution

Swedish Defence Research Agency

GovernmentStockholm, Sweden
About: Swedish Defence Research Agency is a government organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Radar & Synthetic aperture radar. The organization has 1413 authors who have published 2731 publications receiving 56083 citations. The organization is also known as: Totalförsvarets forskningsinstitut.


Papers
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Proceedings ArticleDOI
12 Nov 2007
TL;DR: A dual band LNA that can be switched between two bands for IEEE 802.1 la/b/g WLAN applications and is tunable within each band and the tuning is incorporated by on-chip varactors.
Abstract: This paper presents a dual band LNA that can be switched between two bands (2.4 GHz & 5.2 GHz) for IEEE 802.1 la/b/g WLAN applications. The LNA is also tunable within each band and the tuning is incorporated by on-chip varactors. The test chip consists of two fully integrated narrow-band tunable LNAs along with SPDT switch. For power saving one LNA can be switched off. The technology process is 0.2 mum GaAs offered by OMMIC. The LNA can achieve a relatively good performance over the two bands as demonstrated by simulation. With a 3V supply, the LNA has a gain of 26.2 dB at 2.4 GHz and 21.8 dB at 5.2 GHz and the corresponding NF varies between 2.07 dB and 1.84 dB, respectively. The LNA has an IIP3 of -7 dBm at 2.4 GHz and -1.6 dBm at 5.2 GHz.

18 citations

Journal ArticleDOI
TL;DR: Case studies optimizing seed orchards for Scots pine and loblolly pine illustrate how this flexibility can be used to impose additional constraints on the scion material available from some candidate genotypes and optimize selection even when related candidates have varying degrees of coancestry among them.
Abstract: Tree breeders must often consider the conservation of genetic diversity, while at the same time, maximizing response to selection. In the case of seed orchards, the buyer of seed wants maximum performance, while satisfying a restriction, sometimes legislated, on the diversity deployed to the forest. Optimal selection will not completely avoid kinship but rather maximize gain while imposing a constraint on average relatedness. Here, we present the application of semidefinite programming (SDP) as a flexible approach to optimize the deployment of genotypes to a clonal seed orchard. We formulate the selection problem as an SDP, where average breeding value is to be maximized, while imposing constraints on relatedness, as well as maximum and minimum contributions from each candidate. An open-source solver, SDPA, was embedded into a tool designed to make the optimization of seed orchards by SDP simple and flexible. Case studies optimizing seed orchards for Scots pine and loblolly pine illustrate how this flexibility can be used to impose additional constraints on the scion material available from some candidate genotypes and optimize selection even when related candidates have varying degrees of coancestry among them. Additional situations where SDP can be employed are discussed.

17 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate if and how gendered aspects of climate change response are integrated in the Swedish response to climate change and whether there is a positive relationship between gender awareness and the quality of the communities' climate change policies and practice.
Abstract: This article elaborates on and discusses gendered dimensions of climate change response in Swedish municipalities. There are indications that attitudes and behaviour to the environment and climate change are gendered. This evidence together with our own work further indicates that gender awareness is most probably an important influence on how municipalities respond to climate change. The aim of this study was to investigate if and how gendered aspects of climate change response are integrated in the Swedish response to climate change. The potential causal relationships between a high level of awareness of the gendered aspects of climate change and the levels of climate change response were investigated. We asked whether there is a positive relationship between gender awareness and the quality of the communities' climate change policies and practice. Indications of such a relationship prompt a change in research priorities – paying more attention to gender – and in subsequent policy developments.

17 citations

Proceedings ArticleDOI
21 Sep 2015
TL;DR: The application of the method to Twitter data from the Russia-Ukraine conflict and the classification results suggest that good classification performance still can be obtained despite generating training sets semi-automatically rather than using manual annotation.
Abstract: Automated accounts are used for many purposes in social media, including sending spam, spreading of viruses and conducting psychological operations in political or military conflicts. While several previous attempts have been made to classify bot accounts in the spam domain, there are (to the best of our knowledge) no previous studies on detection of automated accounts in a military information operation context. Traditional machine learning approaches to bot detection rely on manual annotation of training sets from which classifiers can be learnt, which requires a large manual effort. We present a semi automated alternative to manual annotation which significantly reduces the effort and resources needed, and hence speeds up the process of adapting classifiers to new domains. Our application of the method to Twitter data from the Russia-Ukraine conflict and our classification results suggest that good classification performance still can be obtained despite generating training sets semi-automatically rather than using manual annotation.

17 citations

Proceedings ArticleDOI
19 Apr 2015
TL;DR: This paper derives the optimal genie detector when the true positions are perfectly known, and the observation errors are Gaussian, as a benchmark for other detectors, and proposes several detectors that do not need any position knowledge that outperform recently proposed detectors in many interesting cases.
Abstract: In this paper we deal with spoofing detection in GNSS receivers. We derive the optimal genie detector when the true positions are perfectly known, and the observation errors are Gaussian, as a benchmark for other detectors. The system model considers three dimensional positions, and includes correlated errors. In addition, we propose several detectors that do not need any position knowledge, that outperform recently proposed detectors in many interesting cases.

17 citations


Authors

Showing all 1417 results

NameH-indexPapersCitations
Anders Larsson80130733995
Anders Johansson7553821709
Anders Eriksson6867919487
Dan S. Henningson6636919038
Bengt Johansson6663519206
Anders Sjöstedt6319611422
Björn Johansson6263716030
Mats Gustafsson6152018574
D. G. Joakim Larsson5815113687
Anders Larsson5419855761
Mats Tysklind5325017534
Jerker Fick511438787
Erik Johansson501149437
Göran Finnveden4919312663
Ian A. Nicholls451947522
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20228
202163
202074
2019102
201894