Design and implementation of tdoa indoor positioning system based on kalman filter algorithm
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With the development of the service industry based on location information, indoor positioning technology has been increasingly concerned and studied. Due to the centimeter-level positioning accuracy,indoor positioning technology based on UWB is playing a more and more important role in the industrial application field. In UWB indoor positioning, the signal will inevitably be blocked by various obstacles, so the non-line-of-sight environment composed of various obstacles will reduce the indoor positioning accuracy. Therefore, it is urgent to solve the problem of non-line-of-sight error caused by obstacles in UWB indoor positioning. |
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基于卡尔曼滤波算法的TDOA室内定位系统设计与实现_玄玉.pdf |
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