| Authors |
S. Tianhao, S. Lu, T. Yamazato, Yu-Hao Kuo, Yeong-Luh Ueng |
| Title |
Robust Detection of Overlapping LED Spots in Dense VLC via Pilot-Aided Geometric Recognition |
| Authority |
Asia-Pacific Conference on Communications (APCC) |
| Summary |
High-density LED arrays enable high-speed transmission in image sensor-based visible light communication (VLC) systems. However, when optical spots become blurred and spatially overlapped due to focal shift, resolution limitations, or interference, severe inter-symbol interference (ISI) occurs, significantly degrading decoding performance. Existing methods mitigate ISI by reducing LED transmission signaling density.
This paper proposes a robust decoding framework that maintains full LED signaling density. We introduce a pilot-aided geometric recognition with a PSF-constrained Hough transform and circle center alignment refinement. By leveraging prior structural knowledge from pilot frames, the system effectively separates overlapping LED signals under severe optical distortion.
Experimental results on a real-world VLC testbed confirm that the proposed method achieves superior decoding accuracy and throughput compared to conventional Hough-based and low-density baseline methods. The results highlight its potential for high-efficiency VLC applications in interference-prone environments. |
| 年月 |
2025年11月 |
| DOI/Handle |
|
| 開催場所 |
Osaka, Japan |
| 研究テーマ |
可視光通信／光無線通信
|
| 言語 |
英語 |
| 原稿/プレゼン資料 |
 / 無し (ローカル限定) |
