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PARTICLE FILTER APPLICATION TO LOCALIZATION

机译:粒子过滤器在本地化中的应用

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A simple particle filter algorithm with adaptive resampling is implemented showing that land-based range-only radio beacons can provide adequate localization within a port facility. Each beacon transmits its identity along with the range, thus solving the data association problem on the hardware level. The operation of the algorithm is assessed using a single set of experimental data with a 1,000 particle implementation. The associated computational load can be handled on-line by a standard PC. In the same environment the GPS absolute localization is likely to fail.
机译:实现了具有自适应重采样的简单粒子滤波算法,该算法表明基于陆地的仅范围无线电信标可以在港口设施内提供足够的定位。每个信标随范围传输其身份,从而在硬件级别解决数据关联问题。使用具有1,000个粒子实现方案的一组实验数据评估算法的操作。相关的计算负荷可以通过标准PC在线处理。在相同的环境中,GPS绝对​​定位可能会失败。

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