An Efficient Onboard Quantization Strategy for Multi-Channel SAR Systems

Conference contribution


Publication Details

Author(s): Martone M, Villano M, Younis M, Krieger G
Title edited volumes: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2018
Volume: 2018-June
Conference Proceedings Title: European Conference on Synthetic Aperture Radar (EUSAR)
Pages range: 1--6
ISBN: 9783800746361
ISSN: 2197-4403


Abstract

Multi-channel SAR systems allow high-resolution imaging of a wide swath and represent an attractive solution for present and next-generation SAR mission concepts. However, their operation requires the downlink of a huge amount of data: in addition to the intrinsic data requirement related to resolution and swath, in fact, a pulse repetition frequency (PRF) higher than the processed Doppler bandwidth is usually selected. A convenient data reduction strategy is therefore proposed, which exploits the correlation between samples by performing variable-bit quantization of the data after a block transformation of the multichannel SAR data, e.g., an FFT. Simulations show that this allows reducing the data volume while keeping the same performance at the cost of a modest onboard processing effort.


Additional Organisation
Professur für Kognitive Radarsysteme für die Fernerkundung


External institutions with authors

Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)


How to cite

APA:
Martone, M., Villano, M., Younis, M., & Krieger, G. (2018). An Efficient Onboard Quantization Strategy for Multi-Channel SAR Systems. In European Conference on Synthetic Aperture Radar (EUSAR) (pp. 1--6). Institute of Electrical and Electronics Engineers Inc..

MLA:
Martone, Michele, et al. "An Efficient Onboard Quantization Strategy for Multi-Channel SAR Systems." Proceedings of the 12th European Conference on Synthetic Aperture Radar, EUSAR 2018 Institute of Electrical and Electronics Engineers Inc., 2018. 1--6.

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Last updated on 2019-04-04 at 09:23