Maritime Target Tracking Algorithm Based on Visible Light Communication

With the continuous growth of coastal industry, port logistics and other demands, traditional regulatory means have been unable to cope with the complex situations of port vessel regulation. In view of the fact that some monitoring points have blind areas in harbor-border inspection, this paper uses Unmanned Aerial Vehicle (UAV) to build an efficient automatic early warning and control system for port business, then a geometric algorithm for transmitter positioning is proposed by taking Received Signal Strength (RSS) as intermediate variable in Visible Light Communication (VLC) scene. On this basis, in order to further improve the calculation speed and accuracy, Linear Iterative Positioning (LIP) algorithm based on Taylor expansion, implicit function theorem and time domain expansion is proposed to realize the identification and positioning of maritime targets. Furthermore, Quadratic Approximation Iterative Positioning (QAIP) a more sophisticated approximation of the original function is proposed for reference based on second-order Taylor expansion. Finally, simulation results show that the accuracy of LIP algorithm is higher than that of QAIP algorithm, and the computational complexity is low. In addition, the proposed algorithms have fixed overhead.