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Proceedings Paper

SINR estimation for SATCOM in the environment with jamming signals
Author(s): Lun Li; Gang Wang; Xin Tian; Dan Shen; Khanh Pham; Erik Blasch; Genshe Chen
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Paper Abstract

In this paper we consider a problem of estimating the signal-to-interference-plus-noise ratio (SINR) for satellite transmission system in the presence of jamming signals. Additive white Gaussian noise (AWGN) channels are considered for baseband quadrature phase shift keying (QPSK) data transmission system. Two interference models are proposed with Gaussian or non-Gaussian interference signals in order to investigate the SINR for different satellite transmission jamming scenarios. Both non-data-aided moment-based and data-aided maxi-mum likelihood SINR estimators are derived for the systems. The normalized mean square errors of the SINR estimation algorithms are examined by means of computer simulations. The numerical results show the robust-ness of derived SINR estimators. The development of the SINR estimators are applicable to a large number of applications utilizing satellite communication systems.

Paper Details

Date Published: 13 May 2016
PDF: 7 pages
Proc. SPIE 9838, Sensors and Systems for Space Applications IX, 98380P (13 May 2016); doi: 10.1117/12.2225153
Show Author Affiliations
Lun Li, Intelligent Fusion Technology, Inc. (United States)
Gang Wang, Intelligent Fusion Technology, Inc. (United States)
Xin Tian, Intelligent Fusion Technology, Inc. (United States)
Dan Shen, Intelligent Fusion Technology, Inc. (United States)
Khanh Pham, Air Force Research Lab. (United States)
Erik Blasch, Air Force Research Lab. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 9838:
Sensors and Systems for Space Applications IX
Khanh D. Pham; Genshe Chen, Editor(s)

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