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Positional Accuracy Measurement and Error Modeling for Mobile Tracking

机译:移动跟踪的位置精度测量和误差建模

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This paper presents a method of determining the statistical positional accuracy of a moving object being tracked by any 2D (but particularly radiolocation) positioning system without requiring a more accurate reference system. Commonly for testing performance only static positional errors are measured, but typically for radiolocation systems the positional performance is significantly different for moving objects compared with stationary objects. When only the overall statistical performance is required, the paper describes a measurement technique based on determining 1D cross-track errors from a nominal path, and then using this data set to determine the overall 2D positional error statistics. Comparison with simulated data shows that the method has good accuracy. The method is also tested with vehicle tracking in a city and people tracking within a building. For the indoor case, static and dynamic measurements allowed the degrading effect of body-worn devices due to signal blockage to be determined. Error modeling is also performed and a Rayleigh-Gamma model is proposed to describe the radial positional errors. It is shown that this model has a good match with both indoor and outdoor field measurements.
机译:本文提出了一种无需任何更精确的参考系统即可确定任何2D(但特别是无线电定位)定位系统所跟踪的移动物体的统计位置精度的方法。通常,为了测试性能,仅测量静态位置误差,但是通常,对于无线电定位系统,与固定对象相比,移动对象的位置性能明显不同。当仅需要总体统计性能时,本文介绍一种测量技术,该技术基于从标称路径确定一维交叉轨迹误差,然后使用此数据集确定总体2D位置误差统计信息。与仿真数据比较表明,该方法具有良好的准确性。该方法还通过城市中的车辆跟踪和建筑物内的人员跟踪进行了测试。对于室内情况,通过静态和动态测量,可以确定由于信号阻塞而导致的身体磨损设备的降级效果。还进行了误差建模,并提出了Rayleigh-Gamma模型来描述径向位置误差。结果表明,该模型与室内和室外野外测量都具有很好的匹配性。

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