Moving Targets Detection Capacities Improvement in Multichannel SAR Framework
Autor: | Franck Daout, Laurent Savy, Philippe Forster, Abigael Taylor, Helene Oriot |
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Přispěvatelé: | ONERA - The French Aerospace Lab [Palaiseau], ONERA-Université Paris Saclay (COmUE), Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS) |
Rok vydání: | 2017 |
Předmět: |
Time delay and integration
Synthetic aperture radar Computer science Real-time computing 0211 other engineering and technologies Side looking airborne radar 02 engineering and technology MOVING TARGETS DETECTION Radiation pattern Inverse synthetic aperture radar [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism Radar imaging COHERENCE GMTI 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences Clutter Coherence (signal processing) 020201 artificial intelligence & image processing Electrical and Electronic Engineering SAR Computer Science::Information Theory 021101 geological & geomatics engineering Remote sensing |
Zdroj: | IEEE Transactions on Geoscience and Remote Sensing IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55 (6), p. 3248-3260. ⟨10.1109/TGRS.2017.2666267⟩ |
ISSN: | 1558-0644 0196-2892 |
DOI: | 10.1109/tgrs.2017.2666267 |
Popis: | International audience; When using multichannel synthetic aperture radar (MSAR) to perform moving target detection, the coherence between the received signals is closely linked to the detection capacities of the system. In airborne MSAR context, because of the platform movement, the antenna patterns, as well as the phase shifts between the channels, evolve in different ways during the integration time. In this paper, these dissimilarities are shown to cause a degradation of coherence, and hence of detection capacities. A method to enhance the coherence is then developed. This method is based on the estimation of the steering vector. It is applied on two sets of real data, and the obtained results validate the method. |
Databáze: | OpenAIRE |
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