计算机工程 ›› 2009, Vol. 35 ›› Issue (4): 25-27.doi: 10.3969/j.issn.1000-3428.2009.04.009

• 博士论文 • 上一篇    下一篇

基于高斯混合模型的无线局域网定位算法

程远国,耿伯英   

  1. (海军工程大学电子工程学院,武汉 430033)

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-02-20 发布日期:2009-02-20

WLAN Location Algorithm Based on Gauss Mixture Model

CHENG Yuan-guo, GENG Bo-ying   

  1. (College of Electrical Engineering, Navy Engineering University, Wuhan 430033)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-02-20 Published:2009-02-20

摘要: 目标定位是无线局域网提供位置服务的基础。该文围绕无线局域网目标定位中的定位精度和实时性2个QoS指标,对基于RSSI的定位技术进行研究,提出一种基于高斯混合模型的无线局域网定位算法。该算法由离线训练和在线定位2个阶段组成,采用GMM对RSSI进行建模,降低了系统定位误差,并减少了定位阶段的运算量,提高了定位的实时性。仿真实验结果表明,该算法具有较好的定位精度和实时性。

关键词: 无线局域网, 接收信号强度指示, 高斯混合模型, 定位算法

Abstract: User location estimation is the precondition of the services in Wireless Local Area Network(WLAN). Aiming to improve both QoS aspects including accuracy and real time of WLAN, this paper conducts the research on localization technology based on Received Signal Strength Indicator(RSSI), and proposes an algorithm for WLAN location estimation based on Gauss Mixture Model(GMM), which consists of an offline training phase and a real time localization phase. The RSSI is also modeled by GMM, which decreases the error and the computation, and improves the real time of WLAN user localization. Simulation experimental results show this algorithm has better performance in both accuracy and real time.

Key words: Wireless Local Area Network(WLAN), Received Signal Strength Indicator(RSSI), Gauss Mixture Model(GMM), location algorithm

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