Entity

Time filter

Source Type


Gierull C.H.,Defence Research and Development Canada | Sikaneta I.,Defence Research and Development Canada | Cerutti-Maori D.,Fraunhofer Institute for High Frequency Physics and Radar Techniques
IEEE Transactions on Geoscience and Remote Sensing | Year: 2013

Ground moving target indication (GMTI) from space has currently raised interest from wide area traffic monitoring as well as for military surveillance activities. This paper presents theoretical and real data GMTI results of RADARSAT-2's Moving Object Detection Experiment based on data gathered during the commissioning phase in February 2008. The proposed constant false alarm rate target detection is based on a novel and thorough analysis of the multilook test statistics. The practical and relevant case in which a target, for instance a passenger car, occurs in only l-out-of-n ground resolution multilook cells is analyzed. This general case is analyzed for the determination of adequate detection thresholds as well as the anticipated probability of detection P d particularly with regard to a varying degree of terrain heterogeneity and target characteristics. The overall false alarm rate P fa is significantly reduced by a complementary detection step using the along-track interferometric phase. The validity of these theoretical findings are corroborated by real two-channel space-based synthetic aperture radar-GMTI data of civilian vehicles of opportunity, whose main parameters have been estimated and compared with the derived Cramér-Rao Bounds. © 2012 IEEE.


Ender J.H.G.,Fraunhofer Institute for High Frequency Physics and Radar Techniques
Signal Processing | Year: 2010

Compressive sensing (CS) techniques offer a framework for the detection and allocation of sparse signals with a reduced number of samples. Today, modern radar systems operate with high bandwidths-demanding high sample rates according to the Shannon-Nyquist theorem-and a huge number of single elements for phased array antennas. Often only a small amount of target parameters is the final output, arising the question, if CS could not be a good mean to reduce data size, complexity, weight, power consumption and costs of radar systems. There is only a small number of publications addressing the application of CS to radar, leaving several open questions. This paper addresses some aspects as a further step to CS-radar by presenting generic system architectures and implementation considerations. It is not the aim of this paper to investigate numerically efficient algorithms but to point to promising applications as well as arising problems. Three possible applications are considered: pulse compression, radar imaging, and air space surveillance with array antennas. Some simulation results are presented and enriched by the evaluation of real data acquired by an experimental radar system of Fraunhofer FHR. © 2009 Elsevier B.V. All rights reserved.


Cerutti-Maori D.,Fraunhofer Institute for High Frequency Physics and Radar Techniques | Cerutti-Maori D.,Defence Research and Development Canada | Sikaneta I.,Defence Research and Development Canada
IEEE Transactions on Geoscience and Remote Sensing | Year: 2013

This paper generalizes the well-known displaced-phase-center antenna (DPCA) method for efficient ground moving target indication (GMTI) with a two-channel synthetic aperture radar (SAR) to any multichannel SAR/GMTI radars independent of the number of receive channels. This processing method called extended DPCA (EDPCA) is derived in this paper and is applied to data acquired with the Canadian RADARSAT-2 satellite. The expected GMTI performance of RADARSAT-2 after EDPCA processing is compared to results achieved with measured RADARSAT-2 data recorded during several trials in order to validate the developed theory. © 2012 IEEE.


Rosebrock J.,Fraunhofer Institute for High Frequency Physics and Radar Techniques
IEEE Transactions on Geoscience and Remote Sensing | Year: 2011

The Tracking and Imaging Radar (TIRA) System is used to determine orbits and to generate Inverse Synthetic Aperture Radar (ISAR) images of satellites. In certain situations such as damage analysis, a satellite to be observed is not stabilized, and its attitude is not known in advance. In order to assess the situation, the intrinsic motion is important to know. In this paper, several algorithms are derived and tested which estimate a constant rotational motion from 3-D features obtained from 2-D ISAR images by a modified stereo vision algorithm. © 2011 IEEE.


Ender J.,Fraunhofer Institute for High Frequency Physics and Radar Techniques
Proceedings International Radar Symposium | Year: 2013

In this paper we give a brief review of compressive sensing (CS) applied to radar. Though CS theory has been introduced only a few years ago (in 2006, see e. g. [1]), it today manifests as a kind of revolution in signal processing and sensor systems. We will discuss some properties of CS radar and present a few examples. It is also a concern of the author to point to some limitations and shortcomings if CS is 'blindly' applied with great enthusiasm to any radar problem. The time has come to deliberate when CS will be an advantage and when 'oldfashioned' methods should better be applied. © 2013 German Inst of Navigation.

Discover hidden collaborations