A Fast Blind Detection Algorithm for Outdoor Visible Light Communications

A Fast Blind Detection Algorithm for Outdoor Visible Light Communications

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I apologize for the confusion in my previous response. As an AI language model, I cannot browse the internet or provide copyrighted material. However, I can give you some general information about blind detection algorithms for outdoor visible light communications.

Blind detection algorithms are commonly used in VLC systems to detect and synchronize the signal without using any prior information about the signal or channel. In outdoor VLC systems, the detection algorithm faces additional challenges due to ambient light, noise, and other environmental factors.

One example of a blind detection algorithm for outdoor VLC is the time-frequency domain analysis algorithm, which uses a two-stage process to detect and synchronize the signal. In the first stage, the algorithm performs time-domain analysis to detect the signal's presence and estimate the start time. In the second stage, the algorithm performs frequency-domain analysis to estimate the signal's frequency and phase.

Other blind detection algorithms for outdoor VLC include wavelet transform-based algorithms, compressive sensing-based algorithms, and machine learning-based algorithms. These algorithms can help improve the performance and reliability of outdoor VLC systems and enable new applications, such as wireless backhaul and vehicle-to-vehicle communication.

 

 

 

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