Moving Targets Detection Capacities Improvement in Multichannel SAR Framework

Autor: Franck Daout, Laurent Savy, Philippe Forster, Abigael Taylor, Helene Oriot
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:
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