摘要
针对无线传感器网络(WSN)中的定位算法在不规则通信信号传播模型下存在定位误差较大的问题,提出双迭代栅格扫描定位算法。由Grid-Scan算法得到初始位置估计,当满足近似角匹配算法和迭代扫描算法的定位条件时,通过锚节点迭代扫描算法缩小定位区域内的栅格数量产生位置估计,再采用近似角匹配算法得到一个位置估计,将该位置估计作为下一次锚节点迭代扫描的初始位置。该方法主要运用近似角匹配法不断改变锚节点迭代扫描法的初始位置,而锚节点迭代扫描算法可缩小定位区域,从而形成两层迭代。当满足迭代终止条件时,双迭代停止,并得到最终的位置估计。仿真结果表明:在Log-normal模型下,结合近似角匹配的双迭代定位算法具有较好的定位效果。
Aiming at the problem that the localization algorithm in a wireless sensor network(WSN)has a large localization error in the irregular communication signal propagation model,dual-iteration Grid-Scan algorithm is proposed.The initial position estimation can be obtained by Grid-Scan algorithm.When localization conditions of the approximate angle matching algorithm and the iteration scan algorithm are satisfied,the number of grids in the localization area is reduced by the anchor node iteration scan algorithm,and the position estimation is also generated.The approximate angle matching algorithm is used to generate a new iteration position.The dual-iteration localization algorithm mainly uses the approximate angle matching method to constantly change the initial position of the anchor node iteration scan method,and the anchor node iteration scan method can narrow the localization area for the approximate angle matching method,thus forming a two-layer iteration.When iteration termination conditions are satisfied,the dual-iteration scan stops and the final position estimation can be obtained.The simulation results show that the dual-iteration localization algorithm combined with approximate angle matching has better positioning effect in Log-normal model.
作者
危华明
WEI Huaming(College of Information Engineering,Nanning University,Nanning 530200,China)
出处
《中国测试》
CAS
北大核心
2020年第12期135-141,共7页
China Measurement & Test
基金
广西高等教育本科教学改革工程项目(2018JGB380)。
