Exploring Different Receiver Structures for Radio over FSO Systems with Signal Dependent Noise

This paper investigates the implications of employing multiple transmissions as a diversity mechanism to counter the turbulence induced fading in satellite systems with optical feeder link and RF user links. Such a technique necessitates optimal estimation of the transmitted signal using the different streams on-board the satellite. Unlike traditional combining techniques like Maximal Ratio Combining (MRC) which assume signal independent noise, the aforementioned estimation is made interesting by the signal dependent noise characteristic of the optical processing in such systems. This paper investigates various estimators in the presence of signal dependent noise and assesses them based on performance and complexity. Towards this, the paper devises a signal model to illustrate the effect of various signal dependent and independent noise sources and derives estimators based on (a) averaging, (b) Minimum Mean Square Error (MMSE), and (c) Maximum Likelihood (ML). The bias and the Mean Squared Error (MSE) of these estimators are analyzed and the impact of signal dependent noise characterized. Based on these results and complexity considerations, the paper presents recommendations for the receiver to be used in future generation of satellite systems with optical feeder links.

[1]  Murat Uysal,et al.  Do We Really Need OSTBCs for Free-Space Optical Communication with Direct Detection? , 2008, IEEE Transactions on Wireless Communications.

[2]  Majid Safari,et al.  Efficient optical wireless communication in the presence of signal-dependent noise , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[3]  Chen Gong,et al.  Modulation Designs for Visible Light Communications With Signal-Dependent Noise , 2016, Journal of Lightwave Technology.

[4]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[5]  Bhavani Shankar,et al.  Exploiting diversity in future generation satellite systems with optical feeder links , 2016 .

[6]  L. Andrews,et al.  Laser Beam Propagation Through Random Media , 1998 .

[7]  Svilen Dimitrov,et al.  Optical feeder links for high throughput satellites , 2015, 2015 IEEE International Conference on Space Optical Systems and Applications (ICSOS).

[8]  Gary K. Froehlich,et al.  Estimation in signal-dependent noise , 1980 .

[9]  Marvin K. Simon,et al.  Alamouti-type space-time coding for free-space optical communication with direct detection , 2005, IEEE Transactions on Wireless Communications.

[10]  E. Lutz,et al.  A High-Throughput Satellite System for Serving whole Europe with Fast Internet Service, Employing Optical Feeder Links , 2015 .

[11]  Svilen Dimitrov,et al.  Digital modulation and coding for satellite optical feeder links , 2014, 2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop (ASMS/SPSC).

[12]  Erry Gunawan,et al.  Shift-orthogonal space-time block codes , 2010, IEEE Transactions on Communications.

[13]  Thomas Dreischer,et al.  Optical GEO feeder link design , 2012, 2012 Future Network & Mobile Summit (FutureNetw).

[14]  Akira Ishimaru,et al.  Wave propagation and scattering in random media , 1997 .

[15]  Harald Haas,et al.  Optical Spatial Modulation , 2011, IEEE/OSA Journal of Optical Communications and Networking.

[16]  Keigo Iizuka,et al.  Elements of Photonics, Volume II , 2002 .

[17]  Ramon Mata Calvo,et al.  Optical transmission schemes for GEO feeder links , 2014, 2014 IEEE International Conference on Communications (ICC).

[18]  Björn E. Ottersten,et al.  Spatial multiplexing in optical feeder links for high throughput satellites , 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).