【摘 要】
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Binary sensor network(BSN) are becoming more attractive due to the low cost deployment, small size, low energy consumption and simple operation.There are two di
【机 构】
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Broadband Wireless Communications Laboratory,College of Information Engineering
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Binary sensor network(BSN) are becoming more attractive due to the low cost deployment, small size, low energy consumption and simple operation.There are two different ways for target tracking in BSN,the weighted algorithms and particle filtering algorithm.The weighted algorithms have good realtime property,however have poor estimation property and some of them does not suit for targets variable velocity model.The particle filtering algorithm can estimate targets position more accurately with poor realtime property and is not suitable for targets constant velocity model.In this paper distance weight is adopted to estimate the targets position, which is different from the existing distance weight in other papers. On the analysis of principle of distance weight (DW), prediction-based distance weighted(PDW) algorithm for target tracking in BSN is proposed. Simulation results proved PDW fits for targets constant and variable velocity models with accurate estimation and good reaitime property.
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