We consider a free-space optical (FSO) communication system employing on-off keying (OOK) signaling in the presence of background radiation and intersymbol interference (ISI) arising as a consequence of a sampling clock offset. The receiver has no prior information about the instantaneous channel coefficient, and shot noise with signal-dependent power is inserted by the photodetector device. In such a harsh scenario, suitable estimates of the timing error, channel attenuation and noise parameters are needed for reliable data detection. In this work, we employ the Expectation-Maximization (EM) algorithm for the joint estimation of all the aforementioned parameters. In order to obtain a feasible scheme, the maximization step of the EM procedure is split into a sequence of simpler optimization tasks according to the Expectation-Conditional Maximization (ECM) principle. The resulting algorithm operates in a blind fashion using symbol-spaced samples, which is particularly advantageous in high-speed FSO communications where signal oversampling may require sophisticated hardware equipment. Computer simulations indicate that the accuracy of the proposed scheme is close to the relevant modified Cramér-Rao bounds (MCRBs), which amounts to saying that no room is left for a further improvement of the system performance.

Blind Estimation of Timing Error, Channel Attenuation and Noise Parameters in OOK Free-Space Optical Communications

D'Amico A. A.
;
Morelli M.
2024-01-01

Abstract

We consider a free-space optical (FSO) communication system employing on-off keying (OOK) signaling in the presence of background radiation and intersymbol interference (ISI) arising as a consequence of a sampling clock offset. The receiver has no prior information about the instantaneous channel coefficient, and shot noise with signal-dependent power is inserted by the photodetector device. In such a harsh scenario, suitable estimates of the timing error, channel attenuation and noise parameters are needed for reliable data detection. In this work, we employ the Expectation-Maximization (EM) algorithm for the joint estimation of all the aforementioned parameters. In order to obtain a feasible scheme, the maximization step of the EM procedure is split into a sequence of simpler optimization tasks according to the Expectation-Conditional Maximization (ECM) principle. The resulting algorithm operates in a blind fashion using symbol-spaced samples, which is particularly advantageous in high-speed FSO communications where signal oversampling may require sophisticated hardware equipment. Computer simulations indicate that the accuracy of the proposed scheme is close to the relevant modified Cramér-Rao bounds (MCRBs), which amounts to saying that no room is left for a further improvement of the system performance.
2024
D'Amico, A. A.; Morelli, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1270917
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