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.

Two-bounce Scattering Of Mm-waves From A Semi-transparent Vegetation Canopy

Abstract: This paper presents the main algorithms of a computer model, which was developed to estimate the polarization characteristics of doublebounce reflection between semi-transparent disc elements and a rough surface below. The polarization matrix of a single disc with arbitrary orientation is first determined. Finally, a cloud-model is applied to estimate the backscattering from leaf elements in a canopy. Both single and double bounce reflections from the leaves and the rough soil surface are included.

Two-Dimensional Data Conversion for One-Dimen-sional Adaptive Noise Canceler in Low-Frequency SAR Change Detection

Abstract: One-dimensional (1-D) adaptive noise canceler (ANC) has been used for false alarm reduction in low-frequency SAR change detection. The paper presents possibilities to process 2-D data by a 1-D ANC. Beside concatenating the rows of 2-D data in a matrix form to convert it to 1-D data in a vector form, two conversion approaches are considered—concatenating the columns of 2-D data and local concatenation, i.e., the conversion to 1-D is performed locally on each block of the 2-D data. A ground object can occupy more than one row and/or more than one column of 2-D data. In addition, the properties in cross range and range of an image are not the same. Thus, different conversion approaches may lead to different performance of an 1-D ANC and hence different change detection results. Among the considered approaches, the local concatenating approach is shown to provide slightly better performance in terms of probability of detection and false alarm rate.

Enhancing sensitivity for emitter geolocation

Abstract: Angle of arrival (AOA), time of arrival (TOA), and frequency of arrival (FOA) can be measured for a signal from multiple platforms. By combining such measurements it is possible to obtain high-accuracy emitter position estimates. This requires a data link with low latency and sufficient data-rate, and synchronization of the platforms in space, time, and search pattern. Typically several of the platforms will have to make their measurements in the radar sidelobes that require very high receiver sensitivity. This paper focuses on discussing how the sensitivity can be improved using antenna gain or signal processing.

Enhancing sensitivity for emitter geolocation

Abstract: Angle of arrival (AOA), time of arrival (TOA) and frequency of arrival (FOA) can be measured for a signal from multiple platforms. By combining such measurements it is possible to obtain high accuracy emitter position estimates. This requires a data link with low latency and sufficient data-rate and synchronization of the platforms in space, time and search pattern. Typically several of the platforms will have to make their measurements in the radar sidelobes which requires very high receiver sensitivity. This paper focuses on discussing how the sensitivity can be improved using antenna gain or signal processing.

Automated Characterisation of Multi-Channel Radar Antennas for Detecting Road/Rail Traffic Obstacles

Abstract: This paper describes a 76-77 GHz radar sensor that is used for detecting obstacles at road/rail intersections. The paper describes some of the key aspects of the applications and the radar design, with emphasis on the need for good characterization of the radars’ antennas. To meet this need, an automated characterisation procedure has been developed and is described in this paper.