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Ad-hoc network DOA tracking via sequential Monte Carlo filtering

Ad-hoc network DOA tracking via sequential Monte Carlo filtering
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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. 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.
作者 GUO Li GUO Yan LIN Jia-ru LI Ning
机构地区 Key Laboratory of Information Processing and Intelligent Technology Institute of Science
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2007年第1期12-15,共4页 中国邮电高校学报（英文版）
关键词 Bayesian inference Ad-hoc network DOA tracking SMC Bayesian inference, Ad-hoc network, DOA tracking,SMC
分类号 TN911.23 [电子电信—通信与信息系统]
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The Journal of China Universities of Posts and Telecommunications
2007年 第1期

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