基于GIE-DOL的地面网络化弹药自定位算法

Self-Localization Algorithm Based on GIE-DOL for Networked Munitions

  • 摘要: 为解决传统自定位算法在精度和复杂度上不能适应地面网络化弹药的问题,研究了三边测量法的影响因素. 推导误差公式,明确了误差由节点几何关系和测距误差共同影响. 提出几何影响因子和定位距离偏差描述其影响程度,并对信标节点组合进行评价和筛选,加权计算坐标. 仿真结果表明,该算法最小化了不利因素的影响,有效地提高了定位精度,对测距误差具有较好的鲁棒性,同时该算法在弹药节点分布密集和松散的条件下均有较好的效果.

     

    Abstract: The influence factors on Trilateration are studied for the reason that traditional self-localization algorithms are not suitable for the networked munitions in quality and complexity. According to the error equation deduced, it showed that the errors was due to the common influence of node geometric relation and ranging errors. Geometric influential element and distance offset of localization were presented to describe the influence effect. And they were used to evaluate and screen groups of anchor nodes. Final position was calculated by weighting. Simulation shows that the algorithm can improve the precision through minimizing the unfavorable factors, has better robustness and nice performance no matter the munition nodes are deployed densely or loosely.

     

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