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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Solution to a multisensor tracking problem with sensor registrationerrors
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Solution to a multisensor tracking problem with sensor registrationerrors

机译：具有传感器配准错误的多传感器跟踪问题的解决方案

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摘要

An on-line solution to the aircraft tracking problem with a distributed network of 3D sensors that are imperfectly registered is presented. Errors in the relative positions and orientations of the sensors are modelled and estimated by an extended Kalman filter [EKF], along with the track variables. This optimal solution, tractable for a limited number of targets, is compared through Monte-Carlo simulation with a suboptimal filter that neglects the sensor systematic errors. The registration errors substantially degrade the accuracy of the aircraft position estimates. The performance of the optimal filter depends on whether the registration errors are to be determined in an absolute or relative setting. When the sensor systematic errors are estimated relative to one of the sensors, the optimal filter performance is excellent. The simulation results are confirmed by a covariance analysis of the optimal filters
机译：提出了一种通过不完全注册的3D传感器分布式网络解决飞机跟踪问题的在线解决方案。传感器的相对位置和方向的误差通过扩展的卡尔曼滤波器[EKF]以及轨迹变量进行建模和估算。通过蒙特卡洛模拟与忽略传感器系统误差的次优滤波器，比较了可解决有限目标数量的最佳解决方案。配准误差大大降低了飞机位置估计的准确性。最佳滤波器的性能取决于是否要在绝对或相对设置中确定配准误差。当相对于传感器之一估计传感器系统误差时，最佳滤波器性能非常好。通过优化滤波器的协方差分析确认了仿真结果

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