认知无线网络小型移动主用户的定位算法研究

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100m×100m范围内,该算法的定位误差可以控制在10m之内....

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Bibliographic Details
Published in广东工业大学学报 Vol. 34; no. 1; pp. 60 - 64
Main Author 吴用;万频;王永华;梁颋;卢强
Format Journal Article
LanguageChinese
Published 广东工业大学自动化学院,广东广州,510006%广东工业大学自动化学院，广东广州 510006 2017
中国电子科技集团公司第七研究所，广东广州 510310
中南民族大学智能无线通信湖北省重点实验室，湖北武汉 430074%中国电子科技集团公司第七研究所,广东广州,510310
Subjects
小型移动主用户;粒子滤波;认知无线网络;定位
认知无线网络
定位
粒子滤波
location
particle filter
小型移动主用户
small-scale mobile primary users
cognitive radio networks
Online AccessGet full text
ISSN1007-7162
DOI10.12052/gdutxb.160012

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Summary: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100m×100m范围内,该算法的定位误差可以控制在10m之内.
Bibliography: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.
small-scale mobile primary users; particle filter; cognitive radio networks; location
44-1428/T
ISSN:1007-7162
DOI:10.12052/gdutxb.160012