Multi-beam line observation optimization strategy based on random variable unitary iterative model


  • Qiwen Hou
  • Hang Zhang
  • Guirong Xu



Multi-beam sounding model, Uniformization of random variables, Iterative optimization model, linear programming.


Multibeam system has many advantages such as large measurement range, fast speed, high accuracy, etc., which can be applied in many fields such as marine topographic survey. In this paper, the relationship between coverage width and other variables is obtained by analyzing the geometric relationship between each parameter, and a multibeam sounding model based on geometric relationship is established. And based on the intelligent optimization algorithm, an iterative optimization model with random variable singularization is designed independently. And the actual terrain data were visualized and simplified into various parameters in line with the model. With the help of the definition of the coverage rate, the relationship between the coverage width and other variables, and the one-to-one correspondence between the translation distance of the slope and the coverage rate, the complex measurement problem can be transformed into a simple linear programming problem, and the relationship model between the coverage rate and other variables is established. In the end, the model can be used to derive the optimal wiring scheme to realize high-precision and full-coverage sweeping of the seabed terrain in the given sea area without omission, provided that the ship speed, beam opening angle and other factors are reasonable.


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How to Cite

Hou, Q., Zhang, H., & Xu, G. (2024). Multi-beam line observation optimization strategy based on random variable unitary iterative model. Highlights in Science, Engineering and Technology, 82, 292-301.