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Journal of System Simulation

Abstract

Abstract: To address the problem that the positioning precision of the inertial navigation system cannot meet the requirements of autonomous positioning when the aircraft flies, an autonomous positioning method with spatial translation based on circular scanning scene matching of SAR was proposed. The spatial translation positioning model of the aircraft was established according to the position of the ground matching points obtained by single point and single circular scanning scene matching of SAR, the oblique distance between the matching points and the aircraft, and the inertial measurement information of the aircraft. The characteristic information of the matching point sequence was used to reconstruct the aircraft velocity, thereby compensating for the effect of inertial navigation error on positioning and reducing the positioning error. In light of the limitation that the least square solution was sensitive to the statistical characteristics of the error, the quasi-Newton optimization method was introduced to optimize the solution results. Simulation model calculation and analysis were carried out under the condition of level flight. The simulation results show that the spatial translation positioning algorithm is effective and feasible, and the RMSE of the positioning results is less than 5.5 m.

First Page

1058

Last Page

1066

CLC

TJ760.2; TP391

Recommended Citation

Pu Cheng'en, Lai Yumin, Shi Rui, et al. Intersection Positioning Algorithm with Spatial Translation Based on SAR Scene Matching[J]. Journal of System Simulation, 2026, 38(4): 1058-1066.

DOI

10.16182/j.issn1004731x.joss.24-1234

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