中国邮电高校学报(英文) ›› 2007, Vol. 14 ›› Issue (1): 12-15.doi: 1005-8885 (2007) 01-0012-04

• Wireless • 上一篇    下一篇

Ad-hoc network DOA tracking via sequential Monte Carlo filtering

GUO Li; GUO Yan; LIN Jia-ru; LI Ning   

  1. Key Laboratory of Information Processing and Intelligent Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2006-10-17 修回日期:1900-01-01 出版日期:2007-03-30
  • 通讯作者: GUO Li

Ad-hoc network DOA tracking via sequential Monte Carlo filtering

GUO Li; GUO Yan; LIN Jia-ru; LI Ning   

  1. Key Laboratory of Information Processing and Intelligent Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2006-10-17 Revised:1900-01-01 Online:2007-03-30
  • Contact: GUO Li

摘要:

A novel sequential Monte Carlo (SMC) algorithm is provided for the multiple maneuvering Ad-hoc network terminals direction of arrival (DOA) tracking. A nonlinear mobility and observation model is adopted, which can describe the motion features of the Ad-hoc network terminal more practically. The algorithm does not need any additional measurement equipment. Simulation result shows its significant tracking accuracy.

关键词:

Bayesian;inference,;Ad-hoc;network,;DOA;tracking,;SMC

Abstract:

A novel sequential Monte Carlo (SMC) algorithm is provided for the multiple maneuvering Ad-hoc network terminals direction of arrival (DOA) tracking. A nonlinear mobility and observation model is adopted, which can describe the motion features of the Ad-hoc network terminal more practically. The algorithm does not need any additional measurement equipment. Simulation result shows its significant tracking accuracy.

Key words:

Bayesian inference;Ad-hoc network;DOA tracking;SMC

中图分类号: