现代电子技术2026，Vol.49Issue(20)：30-33,41,5.DOI:10.16652/j.issn.1004-373X.2026.20.005
机载多传感器数据自适应融合技术
Adaptive fusion technology for airborne multi-sensor data
胡爱玲 1江秀红1
作者信息
- 1. 沈阳航空航天大学,辽宁 沈阳 110136
- 折叠
摘要
Abstract
The data from a single sensor is easily affected by noise,error and environmental factors,resulting in incomplete information collection and making it difficult to achieve stable control of the aircraft system.On this basis,a new adaptive fusion technology for airborne multi-sensor data is proposed.On the basis of analyzing different types of airborne sensors,the highest and lowest values of the measurement data of each sensor are removed,and then the Grubbs criterion is used to remove outliers with excessive deviation between the median and mean values,so as to obtain normal airborne sensor measurement data.The difference between the autocorrelation function of sensors and the average value of the cross-correlation functions of arbitrary sensors are calculated to obtain the mean square error of normal airborne sensor measurement data values.Based on the mean square error,the sensor weighting factor is obtained,and the sensor fusion result is estimated by means of the weighting factor.The experimental results show that this technology can effectively fuse data signals from different types of onboard sensors,and the three aircraft flight position errors,namely the longitude,latitude and altitude errors of the aircraft flight state can be kept near 0 m based on fused high-precision data,providing real-time and more accurate airborne equipment system operating parameters for aircraft piloting,and ensuring the stability and reliability of the aircraft during flight.关键词
机载多传感器/飞机控制系统/自适应加权融合算法/最优加权因子/格拉布斯准则/正态分布Key words
airborne multi-sensor system/aircraft control system/adaptive weighted fusion algorithm/optimal weighting factor/Grubbs criterion/normal distribution分类
信息技术与安全科学引用本文复制引用
胡爱玲,江秀红..机载多传感器数据自适应融合技术[J].现代电子技术,2026,49(20):30-33,41,5.
