Harbor-border inspection for unmanned aerial vehicle based on visiblelight source tracking
2021
The unmanned aerial vehicle (UAV) offers unique advantages of
autonomous flight capability and small coefficient of risk, and is
increasingly being used in harbor-border inspection to ensure security
and orderly operation of harbors. In response to the influence of external
factors such as electromagnetic interference in harbor-border inspection,
this paper utilizes UAV and visible light communication (VLC) to build an
efficient system to track maritime targets near the harbor reliably. In a
VLC scenario, a geometrical equation for transmitter positioning is first
proposed based on the received signal strength of the optical signal
emitted by the target. On this basis, linear iterative positioning (LIP)
using first-order Taylor expansion is proposed to realize online beam
tracking. Furthermore, quadratic approximative iterative positioning
(QAIP), a more precise approximation of the geometrical equation, is
proposed based on second-order Taylor expansion. Simulation results show
that the proposed algorithms can track targets effectively, and QAIP can
achieve higher accuracy with no noise or high signal-to-noise ratio. In
addition, compared with the geometrical solution, LIP and QAIP have faster
computing speeds and fixed overheads.
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