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Kalman Filter Approach to Multisensor Registration of Moving Platform

机译:移动平台多传感器配准的卡尔曼滤波方法

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摘要

Aim To find an effective method to remove the registration error in multi-sensor systems. Methods A Kalman filtering technique was proposed to estimate and remove sensor bias and sensor frame tilt errors in multisensor systems with a moving platform. Results Si- mulation results are presented to demonstrate the performance of this approach. Conclusion The Kalman rater algorithm can detect registration errors and use this information to con- verge tracks from independent sensors. This is particularly important if the data from the sen- sors are to be fused.
机译:目的寻找一种消除多传感器系统中套准误差的有效方法。方法提出了一种卡尔曼滤波技术来估计和消除带有移动平台的多传感器系统中的传感器偏差和传感器框架倾斜误差。结果仿真结果表明了该方法的有效性。结论卡尔曼评估器算法可以检测配准错误,并使用该信息融合来自独立传感器的轨迹。如果要融合来自传感器的数据,这尤其重要。

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