中文摘要：

针对室内接收信号强度定位具有较大误差的情况,提出一种高效的循环加权递推平均滤波算法对测量信号进行滤波.对已测量数据使用最小二乘法进行拟合得到多项式模型,并使用极大似然估计进行定位.实验结果表明,所提出的循环加权递推平均滤波算法在计算量较小的情况下,能够有效提高测距精度,多项式拟合比对数距离路径损耗模型拟合定位精度更高.在室内环境下,提出的算法定位精度达到0.6m左右,接近节点物理性能所允许的最佳定位精度.

英文摘要：

To the problem that the received-signal-strength indicator（RSSI） based indoor localization produces large location errors,an efficient iterative recursive weighted average filter is proposed to process RSSI signal.The model is obtained by least square fitting using measured data,and the maximum likelihood estimate（MLE） is used to location.An experiment is presented to verify the performance of the proposed algorithm.The experimental result shows that the proposed iterative recursive weighted average filter outperforms the particle filter with lower computation complexity,and can improve the measurement accuracy effectively.The polynomial fitting outperforms the log-distance path loss model,and the accuracy of 0.6m is obtained with the proposed algorithm.