Ranging Error Correction Based on a Prior Error Model

Wireless technology provides accurate positioning in indoor environments using time of arrival(TOA) based ranging techniques. However, the positioning accuracy is degraded due to the ranging errors caused by multipath and non-line-of-sight(NLOS) propagation. In this paper, a ranging error correction method is proposed to improve positioning performance. A TOA ranging error model(TREM) is built to provide the prior information for ranging error correction first. The mean value of TREM within a certain interval is used as the ranging error correction value(RECV). As the RECV may be unreasonable sometimes, we adjust it according to the actual positioning situation and then exploit the final RECV to correct ranging data. The experimental results show that the proposed method could well reduce ranging errors and the positioning performance is obviously improved when using corrected ranging data.

聚合通信模型的测试与分析

聚合通信的性能影响着大规模并行数值计算软件的整体效率,它是基于点对点消息传递实现的。可以通过选择点对点通信模型来描述聚合通信。一个恰当的模型可以为聚合通信算法提供精确的定量分析,有助于算法的设计与研究。论文通过对若干聚合通信典型算法的测试与分析,尝试比较与定量分析两种点对点通信模型对聚合通信的描述精度。