Intersection Positioning Algorithm with Spatial Translation Based on SAR Scene Matching

doi:10.16182/j.issn1004731x.joss.24-1234

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.

Key words: SAR, single point and single circular scanning imaging, spatial translation, scene matching positioning, velocity reconstruction

CLC Number:

TJ760.2

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

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算法类别	纵向精度	横向精度
多普勒测角定位法	21.34	10.98
四面体构型定位法	10.72	5.53
本文定位方法	5.08	5.45

仿真条件	具体取值
飞行速度/(m/s)	100.5
飞行高度/m	2 000
景象匹配周期/s	2
景象匹配误差/m	U(-5, 5)
测距误差/m	U(-6, 6)
INS速度误差/(m/s)	4
参与定位匹配点数量	4

n	RMSE/m	n	RMSE/m
4	5.281 7	10	4.008 6
6	4.712 4	12	3.840 9
8	4.397 3	14	3.771 4