作　　者： ; ; ; ; ;

机构地区： 广东工业大学自动化学院

出　　处： 《广东工业大学学报》 2017年第1期60-64,共5页

摘　　要： 针对认知无线网络中,小型移动主用户可随意移动,难以准确定位的情况.本文提出一种基于加权质心算法与粒子滤波算法相结合的具有追踪调整机制的小型移动主用户定位算法.该算法的优势在于不仅可实时性地跟踪主用户,而且还能在跟踪出现偏差的情况启用调整机制,确保定位效果.仿真结果显示在100 m×100 m范围内,该算法的定位误差可以控制在10 m之内. In cognitive radio networks,it is very difficult to track the location of small-scale mobile primary usersbecause of their mobile characteristic、the unpredictability of its spatial and temporal spectrum usage patterns andits weak transmission power.Based on these observations,a novel algorithm with self-adjustment mechanism isproposed based on weighted centroid localization and particle filter to track small-scale mobile primary users.Theadvantage of this method is that not only accurately and reliably track the location of small-scale mobile primaryusers,but also to preserve localization accuracy depend on adjustment mechanism in the case of localization errorexceeds the threshold.Simulation results show that localization error of the proposed algorithm less than10m inthe range of100m×100m.

关 键 词： 小型移动主用户 粒子滤波 认知无线网络 定位

领　　域： [电子电信] [电子电信]