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Interference cancellation in MIMO NLOS optical-camera-communication-based intelligent transport systems.
Applied Optics
|December 25, 2019
Summary
New algorithms enhance vehicle communication reliability using visible light. The frame subtraction and channel inversion (FSCI) scheme offers comparable performance to existing methods with simpler receivers.
Area of Science:
- Optical Wireless Communications
- Wireless Communication Systems
Background:
- Increasing vehicle numbers necessitate advanced communication systems.
- Visible Light Communications (VLC) offers a complementary solution to crowded radio-frequency networks.
Purpose of the Study:
- To propose novel algorithms for reliable data extraction in non-line-of-sight (NLOS) multiple-input-multiple-output (MIMO) VLC systems.
- To enhance data extraction reliability in optical camera communications (OCC).
Main Methods:
- Development of two novel algorithms: Channel Inversion (CI) and Frame Subtraction and CI (FSCI).
- Utilizing differential modulation, frame subtraction, and a unique packet structure for transmitter (Tx) identification.
- Implementation in a NLOS MIMO spatial-division multiplexing OCC system.
Main Results:
- The FSCI scheme achieves comparable Bit Error Rate (BER) performance to Hybrid Selection/Equal Gain Combining (HS/EGC) with simpler receiver structures.
- FSCI demonstrates improved performance at higher illumination levels (>20dBm) for multiple Txs compared to HS/EGC.
- CI schemes exhibit greater tolerance to Tx spacing than HS/EGC, allowing a fixed payload threshold.
Conclusions:
- The proposed FSCI algorithm provides a reliable and efficient method for data extraction in VLC systems.
- FSCI offers a practical alternative to HS/EGC, especially in scenarios with varying illumination levels and multiple transmitters.
- The CI-based approaches enhance the robustness of VLC systems against transmitter spacing variations.
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