Distributed target tracking algorithm in directional sensor networks

作者：Hu, Xiao-Qing; Xu, Bu-Gong^*; Liu, Yong-Gui; Wen, Sha

来源：Journal of South China University of Technology(Natural Science Edition), 2013, 41(9): 8-14.

DOI：10.3969/j.issn.1000-565X.2013.09.002

• Bayesian estimations
• Directional sensor networks
• Distributed target tracking
• Extended Kalman filtering
• Kalman-filtering
• Multiplicative noise
• Omni-directional sensors
• Target estimations

Unlike the traditional omnidirectional sensors, directional sensors always play their roles within a special range. Aiming at the target tracking with distance-dependent measurement noises in directional sensor networks (DSNs), the distance-dependent measurement error of sensors is modeled as a multiplicative noise, and a distributed target tracking algorithm is proposed based on Bayesian estimation. This algorithm restrains the target estimation within a restricted rectangle area by using the range information of the target detected by directional sensors. Simulation results show that, as compared with the conventional extended Kalman filtering and the estimator combining the maximum likelihood with the Kalman filtering, the proposed algorithm can accurately and effectively track mo-ving targets in complex measurement environments.

• 出版日期2013-9
• 单位华南理工大学; 中南大学