Prediction-based target tracking is a very important method for target location and tracking in wireless sensor networks,however,a common difficulty in traditional prediction algorithm is that the target location prediction is not accurate in real environment,due to dynamic change of target motion mode,etc. To overcome these shortage,propose a grey Markov model-based target tracking( GMMTT) algorithm. Introduce Markov model with turbulence characteristics into segmentation grey prediction,which can not only...
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