认知无线网络小型移动主用户的定位算法研究

吴用; 万频; 王永华; 梁颋; 卢强

doi:10.12052/gdutxb.160012

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认知无线网络小型移动主用户的定位算法研究

综合研究 | 更新时间：2026-05-27

- 认知无线网络小型移动主用户的定位算法研究
- Research on Location of Small-Scale Mobile Primary Users in Cognitive Radio Networks
- 广东工业大学学报 2017年34卷第1期页码：60-64
- 作者机构：
- 作者简介：
  
  吴用(1991-),男,硕士研究生,主要研究方向为认知无线电.
- 基金信息：
  
  国家自然科学基金资助项目（61471174）;中国博士后科学基金资助项目（2014M552529，2015T80920）;广东工业大学青年基金资助项目（13QNZD006）
- DOI：10.12052/gdutxb.160012
  中图分类号： TN925
- 网络首发：2017-01-09，
  
  纸质出版：2017
- 稿件说明：
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吴用, 万频, 王永华, 梁颋, 卢强. 认知无线网络小型移动主用户的定位算法研究[J]. 广东工业大学学报, 2017, 34(1): 60-64.

Wu Yong, Wan Pin, Wang Yong-hua, et al. Research on Location of Small-Scale Mobile Primary Users in Cognitive Radio Networks[J]. 2017, 34(1): 60-64.
吴用, 万频, 王永华, 梁颋, 卢强. 认知无线网络小型移动主用户的定位算法研究[J]. 广东工业大学学报, 2017, 34(1): 60-64. DOI： 10.12052/gdutxb.160012.

Wu Yong, Wan Pin, Wang Yong-hua, et al. Research on Location of Small-Scale Mobile Primary Users in Cognitive Radio Networks[J]. 2017, 34(1): 60-64. DOI： 10.12052/gdutxb.160012.

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 m100 m范围内，该算法的定位误差可以控制在10 m之内.

Abstract

In cognitive radio networks

it is very difficult to track the location of small-scale mobile primary users because of their mobile characteristic、the unpredictability of its spatial and temporal spectrum usage patterns and its weak transmission power. Based on these observations

a novel algorithm with self-adjustment mechanism is proposed based on weighted centroid localization and particle filter to track small-scale mobile primary users. The advantage of this method is that not only accurately and reliably track the location of small-scale mobile primary users

but also to preserve localization accuracy depend on adjustment mechanism in the case of localization error exceeds the threshold. Simulation results show that localization error of the proposed algorithm less than 10 m in the range of 100 m100 m.

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references

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