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A scalable Sigma-Point Kalman filter (DSPKF) is proposed for distributed target tracking in a sensor network in this paper. The main idea is to use dynamic consensus strategy to the information form sigma-point Kalman filter (ISPKF) that derived from weighted statistical linearization perspective. Each node estimates the global average information(More)
A novel networked data-fusion method is developed for the target tracking in wireless sensor networks (WSNs). Specifically, this paper investigates data fusion scheme under the communication constraint between the fusion center and each sensor. Such a message constraint is motivated by the bandwidth limitation of the communication links, fusion center, and(More)
The quantized measurement fusion problem for target tracking in a sensor network is investigated using a weighted average approach. The measurement in each local sensor is quantized by uniform quantization and then transmitted to a fusion center (FC). To estimate the state of the target in the FC, the quantized messages are first to be combined in a(More)
Maneuvering target tracking in wireless sensor network (WSN) with quantized measurements is investigated. The measurement in each local sensor is quantized by uniform quantization scheme and then transmitted to a fusion center (FC). To estimate the state of the target in the FC, the quantized messages are first fused in a weighted average way. Then(More)
The distributed or scalable robust filtering problem using average consensus strategy in a sensor network is investigated in this paper. Specifically, based on the information form robust filter, every node estimates the global average information contribution using local and neighbors’ information rather than using the information from whole network. Due(More)
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(More)
We have investigated how LTB4, an endogenous chemoattractant encountered early in the inflammatory process, and fMLP, a bacteria-derived chemotactic peptide emanating from the site of infection, mediate inside-out regulation of the beta2-integrin. The role of the two chemoattractants on beta2-integrin avidity was investigated by measuring their effect on(More)