摘要
本文在无线传感器网络单跳定位误差分析的基础上,分析了多跳节点定位误差的特性,并据此提出针对分布式加权多维尺度定位(Distributed Weighted Multidimensional Scaling,dwMDS)的权值优化算法。在无法获知参考点确切误差的情况下,利用分析出来的克拉美劳下限代替参考点误差并与距离测量误差合并,更准确的反映了多跳定位中的点与点之间的误差,从而有助于设计更优化的权值。仿真结果表明,使用优化权值改进的算法得到的节点定位误差明显减小。
Based on the error analysis of the one-hop localization in wireless sensor network, Cramer-Rao Lower Bound (CRLB) under Gaussian and log-normal models is derived in multihop circumstances. An improved weighted algorithm is introduced to optimize current localization system-dwMDS (Distributed Weighted Multidimensional Scaling). CRLB data is reused in the weighted computation by merging it into the weighted function of the positioning system. The simulation has validates our efficient and more accurate method.
出处
《电路与系统学报》
CSCD
北大核心
2009年第4期1-7,共7页
Journal of Circuits and Systems