【摘要】 介绍了一种改进了的基于多维标度的迭代定位算法(MDS),该算法把参考节点的质心坐标设置为迭代初始值。分析了该算法存在的缺点,提出一种平滑优化算法。仿真结果表明:平滑后的MDS迭代定位算法,迭代次数大大减少,定位精度显著提高。在同样的定位精度下,平滑后的算法需要的锚节点数明显减少。算法具有实际应用价值。更多还原

【Abstract】 An improvement iterative localization algorithm based on MDS is introduced,which setted the centroid of the anchor nodes as the initial value for iterating in the algorithm.An smooth optimization algorithm is proposed by analysing the disadvantage of that algorithm.Simulation result shows that this algorithm need less iterative times,but has higher precision.With same localization precision,anchor nodes are reduced obviously in smooth algorithm,having actual application value.更多还原