空基多平台多传感器时间空间数据配准与目标跟踪

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Kalman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,比传统配准方法具有更快的收敛速度和更高的精度.

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

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.