无线传感器网络SL-n迭代定位算法

摘要

To compensate for the lackness of robusmess caused by MMSE(minimum mean square estimation) in overall situation in wireless sensor network iterative multilateration algorithm, a new estimation algorithm called SL-n were proposed.Firstly all samples were obtained using trilateration or partial MMSE from every combination of n reference nodes which belonged to some blind node, then the location of the blind node were estimated.Simulation experiments show that the proposed SL-n algorithm outperforms MMSE method in overall situation and can reduce the position error sufficiently when the reference error is large.%无线传感器网络迭代多边定位算法在迭代定位过程中使用全局最小均方估计(MMSE)方法估计盲节点的位置,导致算法定位误差很大,缺乏稳健性.针对此问题,提出了SL-n估计方法,该方法首先把某盲节点的所有参考节点进行分组,通过三边法或局部MMSE方法求出的每组相应样本值,并用这些样本值估计出此盲节点的位置.仿真实验表明,当部分参考节点的参考误差较大时,该方法优于全局MMSE处理方法,可以有效降低定位误差.