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The quantized measurement fusion problem for target tracking in wireless sensor network (WSN) with correlated sensor noises is investigated. Each sensor node quantizes the local measurements using probabilistic quantization strategy and transmits the quantized measurements to a fusion center (FC). The FC estimates the target state in a dimension compression way according the best linear unbiased estimation...
The quantized innovation fusion approach to tracking a target with nonlinear Gaussian dynamics in wireless sensor network (WSN) is proposed. A hierarchical innovation fusion structure with feedback from the fusion center (FC) to each deployed sensor is proposed. The measurement innovation in each local sensor node is quantized and then transmitted to the FC. Then the FC estimates the state of the...
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