Abstract

Global positioning system signal does not penetrate into the water volume, and autonomous underwater vehicle have to use the inertial navigation system that will cause an inevitable cumulative error. Terrain reference position can zero out the inertial navigation system error and have been widely used. To improve the positioning accuracy, the planning path of the underwater robot is required to pass through the suitable matching areas in the path planning stage. So, a gridding map is needed to quantify the suitability of the terrain and to partition the suitable matching area and the unsuitable matching area optimally. In this article, we will focus on the quantitative method of terrain suitability and the grid parameter solution method for optimal partition of suitable matching area. Finally, the validity of the algorithm is obtained using the ship borne data. The results show that in the low suitability blocks, the influence of measurement error on terrain reference position accuracy is higher than that in high suitability blocks. And the average of terrain reference position deviation obtained of the path passed through the high suitability area is 53.3% which is lower than that of the path passed through the low suitability area, and the standard deviation of the position deviation is reduced by 21.15%.

Highlights

  • Terrain reference navigation (TRN) is an ideal aided navigation method that has no time accumulation error

  • The research on improving the TRN/terrain reference position (TRP) accuracy mainly focuses on the filtering algorithm, including particle filter (PF),[1,3,4,5,6] robust filtering algorithm,[7,8,9,10] point mass filter (PMF),[5,11,12] and so on

  • We evaluate the effectiveness of the optimal partition algorithm by comparing the TRP accuracy in high suitability blocks and low suitability blocks

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Summary

Introduction

Terrain reference navigation (TRN) is an ideal aided navigation method that has no time accumulation error. X represents the TRP position; xij represents position of terrain node ði; jÞ in MTM, which include two components in x and y directions. The previous content has studied the method of terrain suitability quantification On this basis, the following sections will introduce the partition method of the suitable area and the unsuitable area. For each block ðk; lÞ, assuming that the mesh size is p  p, p represents the number of nodes on the mesh edge and according to equation (7), the information value of the eight direction of block ðk; lÞ is calculated

SNR 11
K 1 X N 1
The standard deviation of terrain S
Findings
Conclusions

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