Deep sea reference network adjustment method based on semi-parameter estimation and additional depth constraint

Abstract

The invention relates to the field of ocean exploration, in particular to a deep sea reference network adjustment method based on semi-parameter estimation and additional depth constraint, the method comprises the following steps: acquiring a sound velocity profile of a sea area site; transmitting an onshore datum to the seabed, and acquiring reference coordinates of other datum points by using a spatial intersection principle; acquiring pressure sensor data on the reference point as depth information; arranging and fusing the observation data; selecting a compensation least square method to construct a three-dimensional network adjustment model based on semi-parameter estimation and additional depth value constraint; solving an adjustment result according to the determined parameters, and performing precision evaluation; introducing a semi-parameter estimation theory, and proposing a three-dimensional network adjustment model based on semi-parameter estimation and additional depth value constraint; the actual measurement data of the deep sea reference network are used for verification, nonparametric components are introduced, the influence of sound velocity system errors is effectively weakened, depth value constraints are added, the estimation precision of the vertical direction of the deep sea reference network is improved, and the overall calibration result of the reference point is closer to the actual coordinate value.

Description

technical field [0001] The invention relates to the field of ocean exploration, in particular to a deep-sea reference network adjustment method based on semi-parametric estimation and additional depth constraints. Background technique [0002] As part of the PNT (Positioning, Navigation, Timing) system, the submarine reference network can provide high-precision navigation and location services for military defense, scientific investigation, resource development, maritime rescue, etc., and is an important infrastructure for exploring the ocean. When laying out the submarine reference network, the overall adjustment of the reference network can improve the efficiency of datum point calibration, but the conventional method of submarine reference network adjustment only considers the influence of accidental errors in the underwater acoustic ranging observations. However, in actual situations, if the influence of system (model) errors is not considered, the adjustment will have a...

AI Technical Summary

Problems solved by technology

When laying out the submarine reference network, the overall adjustment of the reference network can improve the calibration efficiency of the reference point, but the conventional method of seabed reference network adjustment only considers the influence of accidental errors in the underwater acoustic ranging observations

In the actual situation, if the influence of system (model) error is not considered, the adjustment will have a greater impact on the parameter estimates, and even lead to wrong conclusions

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