摘要
提出一种基于RSSI测距的改进DV-Hop定位算法,根据RSSI测距优化节点间的跳数,并使用校正因子修正DV-Hop算法中的平均跳距,最后,采用无约束优化算法代替传统的最小二乘法,计算未知节点的坐标,以减小误差的累计。仿真结果表明:与同类型的算法相比,提出的算法定位误差更小,能够得到更加精确的定位结果。
This paper proposed an improved DV-Hop positioning algorithm based on RSSI ranging,which optimized the number of hops between nodes based on RSSI ranging and used the correction factor to correct the average hop distance in the DV-Hop algorithm.Finally,it used an unconstrained optimization algorithm instead of the traditional least squares method to calculate the coordinates of unknown node to reduce the error accumulation.Simulation results show that compared with the same type of algorithm,the proposed algorithm has a smaller positioning error and it can obtain more accurate positioning results.
作者
刘少楠
LIU Shaonan(Northeastern University at Qinhuangdao,Qinhuangdao 066000,China)
出处
《兵器装备工程学报》
CAS
北大核心
2020年第2期129-133,共5页
Journal of Ordnance Equipment Engineering
基金
河北省高等学校科学技术研究重点资助项目(ZD2016203).