一种机载异构传感器偏差校准方法、介质及终端

By establishing an airborne sensor deviation and noise model within a unified framework and combining it with a pseudo-measurement method to achieve rapid deviation calibration of airborne heterogeneous sensors, the problem of decreased positioning accuracy of airborne sensors was solved, and positioning accuracy and system stability were improved.

CN117109634BActive Publication Date: 2026-07-17NAT UNIV OF DEFENSE TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Filing Date
2023-08-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing airborne sensor deviation calibration methods fail to effectively handle the influence of platform parameters in airborne sensor measurements, leading to a decrease in positioning accuracy. In particular, they cannot achieve fast and accurate deviation calibration when there are changes in nonlinearity and noise covariance.

Method used

Based on the airborne camera and radar observation model, a deviation and noise model is established under a unified framework. Rapid deviation calibration of airborne heterogeneous sensors is achieved through linear decoupling and pseudo-measurement method. A unified airborne sensor observation model is used to transform the measurements of each sensor to a unified world coordinate system, and deviation calibration is performed in combination with pseudo-measurement method.

Benefits of technology

It significantly improves the performance of multi-sensor deviation calibration and joint target positioning accuracy, approaching the positioning accuracy under deviation-free conditions, and improves the stability and accuracy of the sensor system.

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Abstract

本发明公开了一种机载异构传感器的偏差校准方法、介质及终端,其中方法包括:基于统一机载传感器观测模型构建多种机载传感器量测偏差与噪声模型,进而获取各机载传感器观测到的目标地理位置的量测、传感器偏差线性解耦项、目标地理位置量测噪声协方差估计;选取多个机载传感器中的任意一个机载传感器作为参考传感器;根据机载传感器偏差类型,其他机载传感器量测分别与参考传感器量测相减得到多个伪量测,计算各伪量测对待估计偏差的观测矩阵、伪量测的噪声协方差估计和不同伪量测噪声间的互协方差估计,更新传感器偏差估计,对传感器的偏差进行校准。所述方法解决机载异构传感器无法快速、准确地完成偏差校准的问题。
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