Reference : Interference Localization On-Board the Satellite Using Drift Induced Virtual Array
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/37500
Interference Localization On-Board the Satellite Using Drift Induced Virtual Array
English
Arora, Aakash mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Maleki, Sina [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Shankar, Bhavani mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Grotz, Joel [SES]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Jul-2018
Proc. 2018 International Conference on Signal Processing and Communications (SPCOM)
Yes
International
2018 International Conference on Signal Processing and Communications (SPCOM)
from 16-07-2018 to 19-07-2018
[en] Herein, we investigate the interference received from other wireless networks into a satellite communication (SATCOM) link, and review approaches to identify the interference location using on-board satellite processing. Interference is an increasing problem for satellite communication links, and while receiving signals from gateways or user terminals, the uplink is prone to disturbance by interference due to jammers or unintentional transmissions. In this paper, our aim is to localize unknown interference sources present on the ground by estimating direction of arrival (DOA) information using onboard processing (OBP) in the satellite, and the satellite drift inducing a virtual array. In this work, the signal sampled by the drifting single antenna feed is modeled as using an arbitrary array. Building on this model, we perform the 2-D DOA (azimuth and elevation) estimation. The key challenges in such a design include single snapshot based DOA estimation with low complexity and robustness, arising out of limited on-board computational complexity as well as uncertainty in parameters like the drift speed. Employing realistic satellite drift patterns, the paper illustrates the performance of the proposed technique highlighting the accuracy in localization under adverse environments. We provide numerical simulations to show the effectiveness of our methodology.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
http://hdl.handle.net/10993/37500
FnR ; FNR11607283 > Aakash Arora > SPASAT > Power efficient sparse signal processing for digital wideband on-board techniques > 01/07/2017 > 30/06/2021 > 2017

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