中文摘要：

通过建立误差模型，分析了测距信息缺失对于定位误差影响的定量关系，提出了一种基于数据推断辅助的分布式定位方法。该方法利用统计推论，得到由于信道限制而缺失的距离信息，以提高定位精度。仿真实验表明，在室内环境下，新的定位方法在精度上和一致性上均优于传统的定位方式。

英文摘要：

This paper analyzed the quantitative relation between the distance information defect and the localization accuracy based on an error model, and according to the results, proposed a data-inference based distributed localization algorithm for wireless sensor networks. This method adopted the probabihstic data inference method, and filled in the lost ranging information by estimation so as to improve the accuracy. Simulation shows that the new algorithm enjoys a better performance in the indoor scenarios compare to traditional localization algorithms.