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In this paper, we study one-bit quantizer design for distributed estimation under the minimax criterion for wireless sensor network (WSN) applications. Identical local quantizers are generally difficult to design because of the dependence on the unknown parameter under estimation. Nonidentical local quantizers are more robust in that sense. However, its design generally involves multi-dimensional...
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...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
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