Addressing channel noise and bit rate in a multi-channel free space optical communication system

Brian Walker; Thomas Lu; Colin Costello; George Reyes; Tien-Hsin Chao

doi:10.1117/12.2054352

5 May 2014 Addressing channel noise and bit rate in a multi-channel free space optical communication system

Brian Walker, Thomas Lu, Colin Costello, George Reyes, Tien-Hsin Chao

Proceedings Volume 9094, Optical Pattern Recognition XXV; 90940E (2014) https://doi.org/10.1117/12.2054352
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

In this paper, we present a method to optimize Multi-Channel Free Space Optical Communication for statically aligned transmitter-receiver pairs. Pattern recognition algorithms are employed to minimize crosstalk between pixels, reducing the need for channel redundancy. Digitization is accomplished through comparison with several look up tables which are generated during alignment. Mathematical modeling has been performed to simulate the optical misalignment. A multistage automated alignment system can be developed based on the models. Simulation of the in plane and out-of-plane translation and rotation shows that this method builds a foundation of an effective self-healing precision optical alignment system.

Citation Download Citation

Brian Walker, Thomas Lu, Colin Costello, George Reyes, and Tien-Hsin Chao "Addressing channel noise and bit rate in a multi-channel free space optical communication system", Proc. SPIE 9094, Optical Pattern Recognition XXV, 90940E (5 May 2014); https://doi.org/10.1117/12.2054352

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