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An Error Registration Method Based on UKF for Maritime Multi-platforms

机译:基于UKF用于海上多平台的错误注册方法

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To establish the uniform situation map, the platforms' low-precision navigation information and the location information measured mutually are used to carry out the sensor data alignment for martime multi-platforms. This method can avoid the dependences on high-precision navigation equipments and the errors introduced by assuming the earth's surface to be the plane. The models of coordinate conversion for aligning are presented. Then the measure equations and the state equations with regard to navigation systematic error and sensor systematic error are built respectively, and a registration algorithm based on Unscented Kalman filtering is designed for estimating online and compensating those two systematic errors. Consequently, the error registration for martime multi-platforms is achieved, and the higher precision information can be provided for the subsequent data association and data fusion. The simulation results demonstrate the correctness and validity of the algorithm.
机译:为了建立统一的情况地图,平台的低精度导航信息和相互测量的位置信息用于执行Martime多平台的传感器数据对准。这种方法可以避免对高精度导航设备的依赖性和通过假设地球表面成为平面来引入的误差。提出了对准的坐标转换模型。然后分别构建测量方程和关于导航系统误差和传感器系统误差的状态方程,并且设计了一种基于Unscented Kalman滤波的登记算法,用于估计在线并补偿这两个系统错误。因此,实现了Martime多平台的错误登记,并且可以为后续数据关联和数据融合提供更高的精度信息。仿真结果证明了算法的正确性和有效性。

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