基于马尔可夫链模型的井下目标轨迹预测算法

发布时间：2018-03-31 18:09

本文选题：目标轨迹预测　切入点：马尔可夫链　出处：《计算机科学》2014年S1期

【摘要】：针对井下环境恶劣,信标节点失效时会存在大量盲区,提出了一种基于马尔可夫链模型的井下目标轨迹预测算法,利用现有的无线传感器网络和无线射频识别技术,结合马尔可夫链模型对目标运动轨迹进行预测,并对传统的质心定位算法加以改进,使其适应预测模型,同时减少定位误差,提高定位覆盖率。实验证明:所提算法在百米范围内误差较小,可实现准确定位预测。
[Abstract]:For the underground environment, the beacon node failure there are a large number of blind spots, proposes a prediction algorithm for the target trajectory based on Markov chain model, using the existing wireless sensor networks and radio frequency identification technology, combined with the Markov chain model of target motion trajectory prediction and centroid localization algorithm to improve the traditional, make the adaptive prediction model, at the same time reduce the positioning error and improve the positioning coverage rate. The experiment results show that the proposed algorithm error in the 100 meters range is small, can realize accurate positioning prediction.

【作者单位】：宁夏大学数学计算机学院;
【基金】：宁夏自然科学基金重点项目(NZ13004)资助
【分类号】：TD65;TP212.9;TN929.5

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