July 1, 2014 / Vol. 39, No. 13 / OPTICS LETTERS
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Automated alignment system for optical wireless communication systems using image recognition Paul Brandl,* Alexander Weiss, and Horst Zimmermann Institute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Gusshausstrasse 25, 1040 Vienna, Austria *Corresponding author: [email protected] Received March 20, 2014; revised June 5, 2014; accepted June 6, 2014; posted June 6, 2014 (Doc. ID 208663); published June 30, 2014 In this Letter, we describe the realization of a tracked line-of-sight optical wireless communication system for indoor data distribution. We built a laser-based transmitter with adaptive focus and ray steering by a microelectromechanical systems mirror. To execute the alignment procedure, we used a CMOS image sensor at the transmitter side and developed an algorithm for image recognition to localize the receiver’s position. The receiver is based on a selfdeveloped optoelectronic integrated chip with low requirements on the receiver optics to make the system economically attractive. With this system, we were able to set up the communication link automatically without any back channel and to perform error-free (bit error rate
4045
Automated alignment system for optical wireless communication systems using image recognition Paul Brandl,* Alexander Weiss, and Horst Zimmermann Institute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Gusshausstrasse 25, 1040 Vienna, Austria *Corresponding author: [email protected] Received March 20, 2014; revised June 5, 2014; accepted June 6, 2014; posted June 6, 2014 (Doc. ID 208663); published June 30, 2014 In this Letter, we describe the realization of a tracked line-of-sight optical wireless communication system for indoor data distribution. We built a laser-based transmitter with adaptive focus and ray steering by a microelectromechanical systems mirror. To execute the alignment procedure, we used a CMOS image sensor at the transmitter side and developed an algorithm for image recognition to localize the receiver’s position. The receiver is based on a selfdeveloped optoelectronic integrated chip with low requirements on the receiver optics to make the system economically attractive. With this system, we were able to set up the communication link automatically without any back channel and to perform error-free (bit error rate
