This paper concerns the on-board data volume reduction for a single-platform multichannel Synthetic Aperture Radar (SAR) system. In such a system, the unambiguous Doppler spectrum reconstructed on-ground is enlarged at the cost of an increased amount of acquired data. Since the signals received by a multichannel SAR instrument are intrinsically correlated, such correlation can be exploited to represent the signals in a smaller set of components, introducing a controlled distortion. This way, a reduced amount of data can be quantized and transmitted on-ground. Data simulations have been performed to evaluate the performance of the proposed approach. By analysis of the simulation results, efficient reduction of data volume is achieved, even keeping low enough the additional distortion introduced in the reconstructed data.

Principal components dynamic block quantization for multichannel SAR / Guccione, Pietro; Scagliola, Michele; Giudici, Davide. - ELETTRONICO. - (2016), pp. 2090-2093. (Intervento presentato al convegno 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 tenutosi a Beijing, China nel July 10-15, 2016) [10.1109/IGARSS.2016.7729539].

Principal components dynamic block quantization for multichannel SAR

Pietro Guccione;Michele Scagliola;
2016-01-01

Abstract

This paper concerns the on-board data volume reduction for a single-platform multichannel Synthetic Aperture Radar (SAR) system. In such a system, the unambiguous Doppler spectrum reconstructed on-ground is enlarged at the cost of an increased amount of acquired data. Since the signals received by a multichannel SAR instrument are intrinsically correlated, such correlation can be exploited to represent the signals in a smaller set of components, introducing a controlled distortion. This way, a reduced amount of data can be quantized and transmitted on-ground. Data simulations have been performed to evaluate the performance of the proposed approach. By analysis of the simulation results, efficient reduction of data volume is achieved, even keeping low enough the additional distortion introduced in the reconstructed data.
2016
36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
978-1-5090-3332-4
Principal components dynamic block quantization for multichannel SAR / Guccione, Pietro; Scagliola, Michele; Giudici, Davide. - ELETTRONICO. - (2016), pp. 2090-2093. (Intervento presentato al convegno 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 tenutosi a Beijing, China nel July 10-15, 2016) [10.1109/IGARSS.2016.7729539].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/83890
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