SINR estimation for SATCOM in the environment with jamming signals

Lun Li; Gang Wang; Xin Tian; Dan Shen; Khanh Pham; Erik Blasch; Genshe Chen

doi:10.1117/12.2225153

13 May 2016 SINR estimation for SATCOM in the environment with jamming signals

Lun Li, Gang Wang, Xin Tian, Dan Shen, Khanh Pham, Erik Blasch, Genshe Chen

Proceedings Volume 9838, Sensors and Systems for Space Applications IX; 98380P (2016) https://doi.org/10.1117/12.2225153
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Lun Li, Gang Wang, Xin Tian, Dan Shen, Khanh Pham, Erik Blasch, and Genshe Chen "SINR estimation for SATCOM in the environment with jamming signals", Proc. SPIE 9838, Sensors and Systems for Space Applications IX, 98380P (13 May 2016); https://doi.org/10.1117/12.2225153

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