基于卡尔曼滤波的仪表着陆机载设备解算处理  

Calculation and Processing of Instrument Landing System Equipment Based on Kalman Filter

作　　者：魏子辉 王皓[1] 雷弘宇 WEI Zihui;WANG Hao;LEI Hongyu

机构地区：[1]中国电子科技集团公司第二十研究所,西安710068 [2]西安交通大学,西安710049

出　　处：《现代导航》2024年第2期122-125,共4页Modern Navigation

摘　　要：仪表着陆系统在测量中用到了多种滤波来提高精度,例如数字滤波器等,可系统在测量中仍然会受飞行姿态、环境、测量不确定性等因素的影响,在测量值与真值之间出现一定偏差,亦或测量值出现部分毛刺跳变。考虑到滤波算法都是需要一定的运算数据和硬件资源,算法越复杂占用资源越多。从实际工程应用出发,选用具有计算效率高、稳定性强和存贮量要求不高等特点的卡尔曼滤波算法,将其应用于仪表着陆机载设备中,来提高测量精度。The instrument landing system has used various filters to improve accuracy in measurement,such as digital filters.But the system may still experience certain deviations between the measured values and the true values due to factors such as flight attitude,environment and measurement uncertainty,or some burrs and jumps in the measured values.Considering that filtering algorithms require a certain amount of computational data and hardware resources,the more complex the algorithm,the more resources it occupies.Starting from practical engineering applications,the Kalman filtering algorithm with high computational efficiency,strong stability,and low storage requirements is selected,which is applied in instrument landing airborne equipment to improve measurement accuracy.

关 键 词：仪表着陆系统 卡尔曼滤波 音频调制度差 

分 类 号：TN965[电子电信—信号与信息处理]