Underwater Wireless Sensor Networks Using Distributed Fusion of Optimally Quantized Estimations from Local Trackers

An Efficient Implementation Method for Distributed Fusion in Sensor Networks Based on CPHD Filters

“…Su [ 11 ] proposed an improved adaptive birth model based on pre-segmentation measurement in his research, which solves the problems of measurement origin uncertainty and cardinality overestimation in the distributed fusion of sensor networks. Pal [ 12 ] proposed a distributed fusion underwater wireless sensor network using local tracker optimal quantization estimation in his research.…”

“…Su [11] proposed an improved adaptive birth model based on pre-segmentation measurement in his research, which solves the problems of measurement origin uncertainty and cardinality overestimation in the distributed fusion of sensor networks. Pal [12] proposed a distributed fusion underwater wireless sensor network using local tracker optimal quantization estimation in his research. In traditional distributed sensor networks, it can be assumed that nodes 1, 2, • • • , l are synchronized and the common sampling period is T. π a (X a kT ZX a (1:k)T ), a ∈ l, represents the posterior test of the sensor.…”