Collaborative target tracking in wireless sensor networks using quantized innovations and Sigma-Point Kalman Filtering

@article{Zhou2009CollaborativeTT,
  title={Collaborative target tracking in wireless sensor networks using quantized innovations and Sigma-Point Kalman Filtering},
  author={Yan Zhou and Jianxun Li and Dongli Wang},
  journal={2009 IEEE International Symposium on Industrial Electronics},
  year={2009},
  pages={942-947}
}
The decentralized collaborative target tracking problem in wireless sensor network (WSN) is investigated in the fusion of quantized innovations perspective. A hierarchical fusion structure with feedback from the fusion center (FC) to each deployed sensor is proposed for tracking a target with nonlinear Gaussian dynamics. Probabilistic quantization strategy is employed in the local sensor node to quantize the innovation. After the FC received the quantized innovations, it estimates the state of… CONTINUE READING
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