空基多平台多传感器时间空间数据配准与目标跟踪  

Time and Spatial Registration and Target Tracking for Multiple Airborne Mobile Platforms and Sensors

作　　者：陈非[1] 敬忠良[1] 姚晓东[1] 

机构地区：[1]上海交通大学航空航天信息与控制研究所,上海200030

出　　处：《控制与决策》2001年第B11期808-811,821,共5页Control and Decision

基　　金：教育部跨世纪优秀人才培养计划基金项目;航空科学基金项目 (99F5 30 6 0)

摘　　要：研究多个空中移动平台的时间空间数据配准与目标跟踪问题。首先给出空中移动平台传感器数据空间配准几何坐标转换算法 ;然后采用最小二乘法对多传感器异步测量数据进行时间配准 ;最后将目标的运动模型和传感器配准误差模型组合在同一个状态方程中 ,利用扩展 Kalm an滤波方程进行估计。 Monte- Carlo仿真表明 ,该方法能同时有效地估计目标运动状态和传感器配准误差 。The problem of time and spatial registration and target tracking for multiple airborne mobile platforms and sensors in a fusion system is considered. The algorithm of coordinate conversion of airborne mobile sensor spatial registration is given. A time alignment method of the asynchronous data based on least-square technique is presented. The registration errors and target states are incorporated into an augmented dynamic model and the extended Kalman filter algorithm is used to estimate both the registration errors and target states simultaneously. Simulations show the effectiveness of the proposed time and spatial registration algorithm for multiple airborne mobile platforms and sensors. Compared with conventional registration algorithm, the proposed method has a faster convergence rate and higher accuracy.

关 键 词：数据融合 多传感器 时间配准 空间配准 雷达 目标跟踪 

分 类 号：TN953[电子电信—信号与信息处理] TP274.2[电子电信—信息与通信工程]