Swedish Defence Research Agency

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

Secondary Bending in Multi Fastener, Composite-to-Aluminium Single Shear Lap Joints

Abstract: A novel technique to study secondary bending due to the eccentric load path in single shear, composite-to-aluminium lap joints has been developed and used in a parametric study. The method is bas ...

Array interpolation and bias reduction

Abstract: Interpolation (mapping) of data from a given antenna array onto the output of a virtual array of more suitable configuration is well known in array signal processing. This operation allows arrays of any geometry to be used with fast direction-of-arrival (DOA) estimators designed for linear arrays. Conditions for preserving DOA error variance under such mappings have been derived by several authors. However, in many cases, such as omnidirectional signal surveillance over multiple octaves, systematic mapping errors will dominate over noise effects and cause significant bias in the DOA estimates. To prevent mapping errors from unduly affecting the DOA estimates, this paper uses a geometrical interpretation of a Taylor series expansion of the DOA estimator criterion function to derive an alternative design of the mapping matrix. Verifying simulations show significant bias reduction in the DOA estimates compared with previous designs. The key feature of the proposed design is that it takes into account the orthogonality between the manifold mapping errors and certain gradients of the estimator criterion function. With the new design, mapping of narrowband signals between dissimilar array geometries over wide sectors and large frequency ranges becomes feasible.

A challenge problem for detection of targets in foliage

Abstract: This paper describes a challenge problem whose scope is detection of stationary vehicles in foliage using VHF-band SAR data. The data for this challenge problem consists of images collected by the Swedish CARABAS-II system which produces SAR images at the low VHF-band (20-90 MHz). At these frequencies the electromagnetic energy from the radar penetrates the foliage of the forest, providing a return from a target concealed in a forest. Thus, VHF-band SAR technology transforms the foliage penetration problem into a traditional detection problem where the goal is to reduce the false alarm rate (FAR). Reducing the FAR requires suppressing the clutter in a VHF-band SAR image which is dominated by larger tree trunks, buildings and other man-made objects. The purpose of releasing the CARABAS-II data set is to provide the community with VHF-band SAR data that supports development of new algorithms for robust target detection with a low false alarm rate. The set of images supports single-pass, two-pass and multi-pass target detection.