文中通过对无线电传播路径损耗模型的分析，提出了加权质心定位算法，用信标节点对未知节点的不同影响力来确定加权因子，以提高定位精度。
The design problem of location algorithm in wireless sensor networks is investigated, and a new node positioning algorithm is proposed based on the mobile beacon node method.
以平均值平滑滤波法和质心法实现了对信标光斑定位，利用卡尔曼预测算法实现了具有自适应能力的递归跟踪算法。
Using smoothing filter and average-force algorithm to position beacon's facula, then use kalman prediction algorithm with the adaptive capacity to achieve the recursive tracking algorithm.
本文在深入、系统地总结分析用于闪烁相机定位算法的基础上，提出了质心导引的三维最大似然定位算法。
Base on the systematic analysis to the positioning algorithms for the scintillation gamma cameras, a centroid guided 3d maximum likelihood positioning algorithm was proposed.
实验结果表明，与普通加权质心算法相比较，该算法具有更高的定位覆盖度和定位精度。
The simulation results show that the algorithm has better estimation error and node localization coverage than common weighted-centroid algorithm.
实验结果表明，与普通加权质心算法相比较，该算法具有更高的定位覆盖度和定位精度。
The simulation results show that the algorithm has better estimation error and node localization coverage than common weighted-centroid algorithm.
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