Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Joachim H. G. Ender"'
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 57:2501-2513
Phased array radar systems are indispensable in many applications requiring robust sensing of the environment. To achieve sensitive target detection and accurate direction-of-arrival (DOA) estimation, a high number of receiving antenna elements is ne
Publikováno v:
2020 IEEE Radar Conference (RadarConf20).
Sensitive target detection and accurate direction-of-arrival (DOA) estimation are key goals of the modern phased array radar designer. To this end, a high number of receiving antenna elements is necessary. This inevitably leads to a high computationa
Autor:
Joachim H. G. Ender
Publikováno v:
2019 20th International Radar Symposium (IRS).
In this paper we regard an approach to fast sparsity-based GMTI processing for an air-or space-borne along track antenna array. The idea for this algorithm was inspired by a technique called fast compressive sensing based on approximated observation
Autor:
Joachim H. G. Ender, Valeria Gracheva
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:2385-2399
One efficient method to detect slow targets with low signal-to-clutter-plus-noise ratios is space time adaptive processing (STAP). To apply STAP to maritime radar systems, the multichannel properties of sea clutter have to be known. This paper invest
Autor:
Joachim H. G. Ender, Fabio Giovanneschi, Kumar Vijay Mishra, Yonina C. Eldar, Maria A. Gonzalez-Huici
Ground penetrating radar (GPR) target detection and classification is a challenging task. Here, we consider online dictionary learning (DL) methods to obtain sparse representations (SR) of the GPR data to enhance feature extraction for target classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::604d0f54c11917bb1fa755c9c7853383
Autor:
Joachim H. G. Ender, Fabio Giovanneschi, Yonina C. Eldar, Maria A. Gonzalez-Huici, Kumar Vijay Mishra
Publikováno v:
IGARSS
Sparse decomposition of ground penetration radar (GPR) signals facilitates the use of compressed sensing techniques for faster data acquisition and enhanced feature extraction for target classification. In this paper, we investigate the application o
Autor:
Christoph Wasserzier, Stefan Brisken, Torsten Mathy, Marco Martorella, Joachim H. G. Ender, Josef Worms
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 50:1701-1714
In this article we present the realization of an experimental multistatic inverse synthetic aperture radar (M-ISAR) system. The primary focus of this work is to utilize the multistatic geometry to estimate the motion of a maneuvering ground target. W
Autor:
Robert Wang, Joachim H. G. Ender, Jens Klare, Yunkai Deng, Thomas Espeter, Ingo Walterscheid, Holger Nies, Otmar Loffeld
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 49:3504-3520
This paper presents a new bistatic point target reference spectrum. It is derived by using the 2-D principle of stationary phase which is first applied in the synthetic aperture radar (SAR) community. The spectrum contains two hyperbolic range-azimut
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 8:765-768
Forward-looking radar imaging continues to gain in significance due to a variety of convenient applications, like landing assistance for aircraft in poor visibility conditions. Synthetic aperture radar (SAR) techniques are typically used to achieve a
Autor:
Jens Klare, Robert Wang, Holger Nies, Otmar Loffeld, Ingo Walterscheid, Andreas R. Brenner, Thomas Espeter, Joachim H. G. Ender
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 48:3268-3279
The spatial separation of the transmitter and the receiver in bistatic synthetic aperture radar (SAR) enables a variety of data acquisition geometries to achieve benefits like the increased information content of bistatic SAR data. In the case of hyb