Abstract
We propose a passive detection and tracking methodology for CamCom receivers in intelligent transport systems. The implemented architecture maximizes the data rate and can maintain a BER of 1.9 × 10−4 while passively detecting and tracking the moving transmitter undergoing worst-case road vibration of 30.6 mm/s. The proposed methodology is also independent of the size and shape of the transmitter and thus finds promising application in intelligent transport.
Highlights
Visible light communication (VLC) has emerged as one of the fastest growing wireless network technologies due to its free spectrum, wide bandwidth (400−800 THz) and a possibility to communicate at a higher data rate [1]
In addition to the indoor positioning, location-based services, medical and navigational equipment, VLC is being applied to intelligent transport systems (ITS) to improve traffic safety and efficiency
We propose a passive detection and tracking methodology that caters for the vehicle vibrations, while minimizing the computational complexity of the receiver algorithm
Summary
Visible light communication (VLC) has emerged as one of the fastest growing wireless network technologies due to its free (unlicensed) spectrum, wide bandwidth (400−800 THz) and a possibility to communicate at a higher data rate [1]. Mitigation of ambient background light (to avoid receiver saturation) and target detection & tracking are the two major challenges in establishing a robust VLC link between two vehicles. A template matching algorithm was proposed in [9] and an edge detection technique was demonstrated in [10] to track an already found transmitter For these works, two exterior LED rows of the transmitter were turned on permanently. The technique proved its robustness against the false alarms, it is considered as computationally complex if multiple transmitters were detected in a single frame Another technique utilizes a custom optical communication image sensor (OCIS) [13] to detect and track an LED array using 1-bit flag image. We propose a passive detection and tracking methodology that caters for the vehicle vibrations, while minimizing the computational complexity of the receiver algorithm.
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