预测滤波技术在光电经纬仪中的应用仿真  

Simulation for the Application of Prediction Flitering Technique in Photoelectric Theodolite

作　　者：赵金宇[1] 李文军[1] 王德兴[2] 王建立[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所 [2]内蒙古通辽市交通工程局,内蒙古通辽028000

出　　处：《测试技术学报》2004年第4期359-363,共5页Journal of Test and Measurement Technology

摘　　要：　针对光电经纬仪的电视跟踪系统脱靶量动态滞后问题,引入了预测滤波技术.分析指出经纬仪跟踪的目标在摄像机靶面上的成像点运动为机动,且认为机动加速度服从修正瑞利分布,采用基于机动目标'当前'统计模型的自适应卡尔曼滤波算法进行误差动态补偿.仿真结果表明,该算法较传统方法不但补偿精度高且极大抑制了随机误差.The prediction flitering was adopted for target deviation dynamic lag in TV tracking systems. Based on a current statistical model, adaptive Kalman filter algorithm for estimating maneuvering targets is adopted. It is indicated that the movement of the imaging points on Screen is maneuver. Maneuvering acceleration is considered for obeying the correct Rayleigh distributing. The simulation results show that this method not only has high compensation precision, but also restrains extremely stochastic errors.

关 键 词：滤波技术 机动目标 脱靶量 瑞利分布 摄像机 电视跟踪系统 自适应卡尔曼滤波 应用仿真 算法 仿真结果 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TP13[自动化与计算机技术—计算机科学与技术]