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Ad-hoc network DOA tracking via sequential Monte Carlo filtering
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作者 GUO Li GUO Yan +1 位作者 LIN Jia-ru LI Ning 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2007年第1期12-15,共4页
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 ca... 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. 展开更多
关键词 Bayesian inference Ad-hoc network doa tracking SMC
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