Dr. Yanbing Yang Profile

Dr. Yanbing Yang

at Sichuan Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 26 July 2022 Paper

Gsnake: A lightweight SNR optimization algorithm for practical optical camera communication

Pinpin Zhang, Chao Hu, Yimao Sun, Yanbing Yang

Proceedings Volume 12278, 122780B (2022) https://doi.org/10.1117/12.2620464

KEYWORDS: Cameras, Signal to noise ratio, Reflectivity, Receivers, Optical communications, Light emitting diodes, Wireless communications, Modulation, Telecommunications, Demodulation

Read Abstract +

Exploring light-to-camera wireless communication (a.k.a. Optical Camera Communication (OCC)) has been a hot research direction in recent years, the breakthrough and commercialization of its key technology can not only solve the spectrum crunch in traditional radio frequency based communication but also revolutionize the next generation of green communications. However, OCC is still trapped by several serious challenges in realistic complex application scenarios (such as exhibits and museums), where they need reflected OCC, but the reflective surfaces are not regular and smooth. Furthermore, the communication performance of the reflected OCC is seriously degraded by the color and texture of the reflective surface in realistic scenarios. To this end, many researchers, including us, have done systematic and deep research to address above issues. In this work, we propose a novel algorithm namely Gsnake to overcome the bottleneck problem of OCC technology in complex scenarios and further improve the performance and practicability of OCC. Essentially, the proposed scheme can search and select pixels in the high SNR (Signal-to-Noise Ratio) region projected by the LED emitter so as to maximize the received signal strength, whereas the conventional ones normally only select a fixed row of pixels. By deploying the algorithm in a real-world application, the experimental results verify the efficacy and usability of the proposed scheme, which is superior to existing algorithms.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years