基于TOA的无线传感器网络时间同步与定位联合算法

TOA based joint time synchronization and localization for WSN

文中研究无线传感器网络中时间同步与节点位置坐标联合处理的问题,并且提出了一个可以联合精确估计未知传感器节点时钟偏差和未知坐标的算法,新提出的联合时间同步与定位算法采用加权最小二乘方法,相比于极大似然等迭代估计器,该方法具有更低的复杂度。理论分析表明在低信噪比情况下,算法精度可以达到克拉美罗下界(Cramér-Rao lower bound,CRLB)。计算机仿真实验结果也证明算法可以达到理论分析的精度要求。

Considering the joint node synchronization and localization problems,a key enabling aspect for wireless sensor network（ WSN） is studied. and a new algorithm for jointly estimating the clock bias and the position of an unknown sensor node is developed. The algorithm uses the weighted least squares（ WLS） technique and therefore has lower computational complexity than maximum likelihood（ ML） estimators. Theoretical analysis shows to the algorithm can achieve the Cramér-Rao Lower Bound（ CRLB）accuracy under the condition of high signal-to-noise ratio（ SNR）. Simulation results demonstrate the good performance of the algorithm.