Phase Estimation Method Using Multiple Frames in Image-Sensor-Based Visible Light Communication

Visible light communication (VLC) is a wireless communication technology that employs visible light as a communication medium. Image-sensor-based VLC is suitable for multi-channel communication because multiple transmitters can be captured concurrently. In this paper, we propose a communication method for image-sensor-based VLC using multiple frames, which are intended to aid the simultaneous measurement of a multi-channel biological signal. The proposed method estimates the phase difference between the transmitter and the receiver using multiple frames shot at different timings compared to LED blinking, and communication is established through phase shift keying. Moreover, the proposed method is resistant to phase differences between the transmitter and the receiver, which is unavoidable in asynchronous communication. Through experiments, we confirmed that communication is possible using our proposed method.

[1]  Tomohiro Yendo,et al.  A Communication Method for Asynchronous Visible Light Communication Based Image Sensor , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).

[2]  Harald Haas,et al.  Using a CMOS camera sensor for visible light communication , 2012, 2012 IEEE Globecom Workshops.

[3]  Xuan Tang,et al.  Undersampled phase shift ON-OFF keying for camera communication , 2014, 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP).

[4]  Takaya Yamazato,et al.  Image Sensor Based Visible Light Communication and Its Application to Pose, Position, and Range Estimations , 2014, IEICE Trans. Commun..

[6]  大嶋 光昭,et al.  Image Sensor-based Visible Light Communication Technology , 2015 .

[7]  Takehiro Moriya,et al.  Audience excitement reflected in respiratory phase synchronization , 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[8]  Takehiro Moriya,et al.  A High-Speed Camera-Based Approach to Massive Sound Sensing With Optical Wireless Acoustic Sensors , 2015, IEEE Transactions on Computational Imaging.